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I'm seeking a skilled developer to build a speaker identifier using Python and the Siamese Network model. It must be able to: - Differentiate between multiple speakers in a single audio clip - Identify the same speaker across different audio clips The developed system should accept .WAV as the input format. It's crucial for the prospective freelancer to be proficient in Python, with a deep understanding of Siamese Networks and audio processing. Sound knowledge of Machine Learning principles and techniques would also be a plus. ** explain the code

I am in need of someone with a keen eye for detail and artistic flair. His or her responsibility will be to take high-quality, artistic photos of cats, specifically focusing on Persian, Maine Coon, and Siamese breeds. Ideal Skills: - Outstanding photography skills - Experience in pet or animal photography and working with these specific cat breeds - The agility to capture the right moments. - An acute understanding of the artistic style in photography. - Ability to post-process photos for enhanced visual appeal. I look forward to viewing your portfolio!

...recognition algorithms. Ability to train and optimize deep learning models for high accuracy and real-time performance. Experience with webcam capture and image processing for consistent data acquisition. Software development skills to integrate the model into a user-friendly interface. Strong understanding of security best practices for biometric data protection. Bonus Points: Experience with Siamese networks or Triplet Loss networks for person re-identification. Knowledge of transfer learning and leveraging pre-trained models like VGG16 or ResNet. Familiarity with Python and popular computer vision libraries like OpenCV. Experience working on similar biometric authentication projects. Project Deliverables: Well-trained deep learning model with high accuracy and real-time perf...

Files are provided with the particle Images and labeling. The first step would be to exclude some particular classes from the files, and the next step would be to classify the rest into well defined classes with characteristics which I am going to define later. Images have some noise, like black ...are provided with the particle Images and labeling. The first step would be to exclude some particular classes from the files, and the next step would be to classify the rest into well defined classes with characteristics which I am going to define later. Images have some noise, like black holes, those needs to be cleaned before passing it to the model. My preference for this classification is Siamese Neural Networks (SNNs) but if you have any rational or better recommendation then let...

I am looking for a developer who can help me improve an existing emotion recognition model using Siamese Neural Network. The desired outcome of the project is to enhance the accuracy and performance of the model. Skills and experience needed: - Strong knowledge and experience in TensorFlow - Familiarity with emotion recognition models - Experience in training and optimizing neural networks Please note that the desired number of training epochs for this project was not specified.

...with information about experience, educations, etc.. Second context will be the job description text, defining the searching criteria. The model gets those 2 contexts as input, and then output a number in range -1 to 1 for matching score. Please do not think of this as a similarity problem, because it does not work. I also tried to build my own models using different techniques, for example a siamese model will give me a loss less than 0.01, but in fact the model will perform wrong after training. For example, the job description text mention that we are looking for a person located in Europe, it should not look only for similar words in two texts, but also reason about the context and learn keyword meaning like job location, where Europe means any country from Europe, so in thi...

Applying siamese neural network to a dataset for handling imbalance and classifying it

I am looking for a skilled developer who can help me create an Emotion Recognition system for my research. The system will use Face (Video), Audio and Text data to recognize emotions. I would prefer a Siamese Neural Network approach for meta-learning to be used in this project. The ideal candidate will have experience in: - Developing Emotion Recognition systems - Working with Face (Video), Audio and Text data - Implementing Siamese Neural Network for meta-learning If you have the required skills and experience, please submit your proposal for this project.

I'm looking for an illustrator to help me create a children's illustration book. The illustrations will be done digitally, and I have reference images for what I'm envisioning. I need between 1-10 illustrations for t...book that my child and other children can enjoy for years to come. The book will be based on 4 main characters, all being cats. I have attached the real life cats this book has been inspired by. please draw up your version of the cats based on their real colors. Cashew is an Orange Tabby Male, Pecan is a Grey and Black Tabby Female, Coconut is a Black and White Male Tabby, and Pistachio is a Siamese female Tabby. I will need the from and back illustration as well as the inner pages. Once you win, I will send the book over to you so that you can create ...

1. Problem Statement and Overview Using clinical information and x-ray images, it is intended to predict the severity of COVID-19 infection by probabilistically predicting infected patien...available, and the adequate selection of the deep learning architecture. 2. Project Objectives Implement a method capable of predicting if a patient infected by covid-19 will be admitted to the ICU using their clinical information and X-ray images with high sensitivity (0.95) and good specificity (0.9). 3. Suggested Methodology A good start for approaching this problem would be implementing a siamese network architecture utilizing the triplet loss function to learn how to differentiate between positive and negative ICU labels given the x-ray image and clinical data. I will give the dataset aft...

I want a logo that has a White and Siamese cat.

we have to perform one shot learning using siamese for sensor dataset

...image collections promoting lifestyle aspirations with a modern design slant. Image collections across textiles, interior design, stationary and infant. Designed by Alis Woods. Image collections are themed. Created by Alis herself. Examples include the Secret Garden echoing the flora/fauna and local wildlife. Cats & the Chrysanthemums sitting by the window is also a favourite theme depicting the Siamese cat in all its elegant sophistication. Not forgetting Jack the wire Fox Terrier. Like minded Creative writers needed to work with Alis are needed to bring the image illustrations alive as stories inspiring makers to create through purchasing the image collections. Image licences contain both individual and image groups. Licences are for personal, commercial and extended...

This Model is used for detecting similarity between two sentences. It is Multi-class problem There are 5400 sentence pair in training data-set. I got 76 accuracy but F1 score is really bad. I need a freelancer which can improve my model in a sense that my F1 score, precision and recall have good value(F1Score Should be more than 85).

Train the model with two different approach to detect either the two sentence are semantically different or not.(Plagiarism detection) Dataset in Urdu Language. Total pair of sentence in training dataset will be 5400. Corpus contain three column (Sentence1,Sentence2,Similarity) Following are the two models. 1- Siamese Manhattan LSTM 2-Siamese Deep Neural Network based on LSTM. Links for your better understanding: 1- competition-8b31b0b16a07 2-

...corridors. Ensure that you provide at least two means of egress from each floor and limit any exit circulation through the lobby area to no more than 50% of the total population of the building. The objective is to discharge as much of the population to a public outdoor space as possible. Draw exit stairs accurately as well as door swings within the egress system. 5. Locate the position of the Siamese connections to the building’s standpipe system and the position of annunciation panels. 6. Determine accessible requirements. 7. Calculate the washroom requirements for each floor including the number of lavatories, water closets and urinals in each washroom on every floor. Following a determination of fixture requirements, estimate washroom areas based on principles of univer...

We moved from living in Auckland, New Zealand, the biggest cities in the country last December to a small rural property in Tauranga. I would like to write a book to share what life is like moving away in the busy city to rural area in New Zealand. Having 2 golden cocker spaniels and a siamese cat before. Now we have 2 baby orphan lambs to hand raise to participate for our kids' school AG (agricultural day), and also two beautiful 'lawn mowing' Scottish Highland cows. These lovely animals will be loved by us and not to be eaten. I don't want to become a vegan, vegetarian or be put off in eating beef meat or lamb. I just won't eat ones with names. I want a book that housewives, and parents or families who are contemplating the move out of the city as ...

Deadline: early December Looking for a software developer experienced in native Android/iOS development to collaborate on a light mobile application designed to provide public health resources for the Trans/LGBTQ+ community. We have a rough design wireframe in place, but technical specs are a bit more fluid. So someone who would know how to build and deploy a mobile app on bith android and a...build and deploy a mobile app on bith android and apple markets would be ideal We estimate time to completion will be roughly 250 hours, though are flexible on time if needed. As long as it is shipped by early December 2022. Ideal candidate is immediately available, and liberally progressive/open-minded. Favor will be given to candidates fluent in the following language: English Central Thai/S...

We have a dataset of iris images that contain iris from RAW and GAN-generated images. The purpose of using the Siamese Network is to find the similarity rate between the left and right iris of the same person in both cases: 1- RAW image, 2- Fake image. How? Training one network of Siamese with left iris images and training another network of Siamese with right iris images separately for RAW and GAN (Fake). Estimated result? We should have a higher similarity rate for irises of RAW images (because they are symmetrical and similar), and a lower similarity rate for irises of Fake images (because they are generated by GAN and are not symmetrical/left and right iris of the same person are not similar in this case)

We are making a signature verification system . We have 2 models , first one is for training the pictures, and the second model is siamese model to compare the signatures. Now the flow is we are passing stack of 5 images. The second part is. We are separating the images , 4 images Are separated and average is taken and made 1 image. Siamese model take 2 inputs 1st is the average of the four images and the second input is the 5th Images remaining. Actually we are trying to match the signature if both signature matches then the signature is of that person All party is done except separating the images and taking average and converting into 1 image. We need help with that.

I would need a pytorch implementation in order to find rhyming words based on this paper: I parsed the database already and I also created the basic structure for the code. But currently we are not able to reproduce the results from the paper. Basically a siamese LSTM network needs to be implemented in pytorch.

I have a google colaboratory project in which I have done a Siamese Network using pretrained InceptionV3 net with fine-tunning but the accuracy is always stuck in 0.5. I need help with the project.

I want to develop an audiovisual deepfake detection system using the Siamese neural network trained with the triplet loss. The network will detect if a given video is real/fake based on the level of similarity between the visual and audio modalities.

This is a cryptocurrency related project. Our theme is Siamese cats. I currently need a logo and some other design elements for my project.

Need a shop logo for a aquarium store Business name is: The Aquarium Centre Selling focus is on fresh water but also some marine and terrarium Store is set in a mainly dominated Chinese demographic population Owner has requested some logos be presented with a Siamese fighter fish Images for reference

I would like to obtain the services of an artist who would (from a photo) paint caricatures of our two Siamese Cats onto a new metal Rural Route mailbox which I would provide.

We need dialogue sounds for the following languages: - purepecha (mexico) - songhai (africa) - mossi (africa moore) - benin (africa edo) - siamese (thai) We need five characters: - male villager voices - female villager voices - male soldier's voices - old male voices - king voices

I have a dataset consisting of 10,000 labeled images. Each image is it's own class. So 10,000 images / 10,000 classes. I will need an accurate model building, in Python (well commented and documented). The model will use Siamese networks with Triplet loss. The final prediction will use Keypoint matching for final reranking (ORB).

Hi Tonis A., This cable is the FUTP 4P Cat6A just ordered but "siamese" version, where 2 cables are bonded together, just like you did a week ago. 1. grey with print APS 2. grey with print KERMAN

Hi Tonis A., When you have done the FFTP 4 PAIRS SINGLE we need to do the same as a siamese. I am attaching an example from a siamese cable that you have done before. One with APS marking. One with KERMAN marking.

Small project to build a face recognition model on matlab using siamese neural networks. Need the project done as soon as possible! If you're interested please let me know and I will be happy to provide you with the details! Cheers

I have a dataset consisting of 10,000 labeled images. Each image is it's own class. So 10,000 images / 10,000 classes. I will need an accurate model building, in Python (well commented and documented). The model will use Siamese networks with Triplet loss. The final prediction will use Keypoint matching for final reranking (ORB).

I am working on a project about Siamese Neural Networks, it is about Object tracking, I have done some theoretical research and a literature review about the topic, I am looking for someone who is experienced in Python programming and Computer Vision fields to implement the topics mentioned in the paper that I will share with whom may take this project.

I am working on a project about Siamese Neural Networks, it is about Object tracking, I have done some theoretical research and a literature review about the topic, I am looking for someone who is experienced in Python programming and Computer Vision fields to implement the topics mentioned in the paper that I will share with whom may take this project.

I am looking for a experienced ghost writer for multiple aquarium audible books. The specs for the books are as below. • All ownerships will be held by myself • 15k words min and 25K max • Must have experience in fish keeping and in particular species is a must (more details below) • No spe...work • The important part, I am doing a number of multiple books each on different species. I understand that you might not have knowledge on all these species, so when messaging me please inform me what species you are able to write about. Species are below • Cold water fish • Koi fish • Community tropical tank • African Cichlids – South American (Oscar’s etc) • Arowana • Discus • Flower Horn • Siamese Fighters &...

I need an example of an Siamese Network with CNN with certain guidelines. Prerequisites: The code should work with tensorflow 2.3 and 2.4 on a linux and Windows machine with tensorflow GPU support 1) Source images are organized in folders as typically used for classification, e.g. test/spoon test/fork test/knive train/spoon train/fork train/knive 2) Equal (e.g fork/fork) and unequal (e.g fork/spoon) pairs have to be generated for training and test. Parameters controlling the amount of used pairs should be in the code 3) Base network - The parallel network should be exchangeable easily. A funtion generating the base network should be in the code (e.g. create_base_network(input_shape)). - It should be possible to use models from as base networks easily

Need a research writer to propose and write top quality research paper(5-6 pages) on machine learning topics. Feel free to propose an idea. In general, I would be interested in topics involving Recommender system, siamese networks, text based ML but feel free to suggest new topics. The content has to be plagiarism free and of high quality. Apply only if you have a proposal in your mind. Thanks!

I need a literature review about the topic. (In English) Object tracking with Siamese Networks is One of the best deep learning architectures that work great with one-shot learning is called Siamese Network. In the paper you are going to analyze Siamese Network architecture in object tracking.

design a difficult logo... two siamese cat faces facing each other, one male, one female, like they are in love, and their fur should form a winter forest below them... Please accept only if confident and can delivery quickly. Attached is example of winter forest look

I’m looking to write a novel about cats and dogs and would like someone to assist to draw some pictures I can insert into the book as per the following: -cover for the book with island filled with cats -the Queen stroking a siamese cat - a cat inside a cardboard shoe box -a cat waving a flag with the logo of a dog head -a cat being burned alive I’m willing to pay $US100 for the above 5 drawings and the copyright to the drawings. Here are some cartoon cats and dogs for your reference. Thanks!!

...in the order of Chidambaram, Kasi and Thirukkalathy. The city was known as Thiruvalavai in ancient times. Bliss comes from hearing the name of the place. [2] Therefore, it is considered as one of the salvation sites of Lord Shiva. Ithalat is also known as 'Shiva Muktipuram'. The site is not only an important red spot, but also one of Ambika's 51 powerhouses. This is called the Rajamatangi Siamese pedestal. Ithalam is also the Siddhar Peetha of Sundarananda, one of the 18 Siddhars. It is the fourth shrine in the sacrificial houses of Ganesha, the 274th shrine to receive the devotional song sung on Lord Shiva, and the 192nd shrine. Thevara is one of the places where the song was sung. It is believed that the temple was built by Indra, the king of the heaven...

...year of experience in the field of AI. 2. Strong understanding of machine learning algorithms & principles (regression analysis, probabilistic models, supervised classification and unsupervised learning), and their application. 3. Applied experience with Deep Learning architectures such as Convolutional Neural Networks [VGG16, ResNet, DenseNet], Autoencoders, Generative adversarial network, and Siamese network. 4. Application of object detection and localization models like YOLO, RCNN, Mask-RCNN etc. 5. Familiarity with Deep Learning frameworks such as TensorFlow ( and keras ), PyTorch, and strong experience in at least one of those. [ Using Python programming language is a must. ] 6. Working experience with machine learning library scikit-learn, and image processing tool...

I need you to develop some softwa

I need you to just write a working code with any dataset. for example a working code using dog and cat dataset from Kaggle using Siamese one shot learning.

We are looking for freelancer that are able to do translation for Siamese or Vietnamese.

...the temporary picture (tmp folder) of the smartphone or webcam with a Magic the Gathering card on a white background (example interface: - example picture: ) and compare the card image with all other card images to get the correct card id with a deep learning algorithm (Someone already tried a Siamese network search engine using deep learning but the accuracy and final error of 0,008 was not good enough. So the main focus is to optimize the deep learning algorithm to get better results.). Another way would be to OCR the text title and to do a deep learning on the set icons (:List_of_Magic_sets) to identify the card. All different cards (around 50.000) within

...zombies coming out of a tomb. 6. A bee drawing a straight line on a wall next to a framed picture of a river (It must be clear that the image is inside and not outdoors). 7. Big pair of fish wearing crowns next to small pair of fish. 8. Small pear character holding onto a lasso being held by two giant people. 9. Small person kicking crown down a very narrow hallway. 10. Two guns firing bullets into siamese twins wearing fuzzy coat and crown (The two bullets must be clearly visible). 11. A pair of shoes. 12. Toilet character falling from the sky about the hit the ground while wearing a tie. 13. Person on knees throwing a pair away to pick up another pair on the gorund. 14. A house on a river with a dog on the left side of the roof helping another dog that's falling off the si...

...zombies coming out of a tomb. 6. A bee drawing a straight line on a wall next to a framed picture of a river (It must be clear that the image is inside and not outdoors). 7. Big pair of fish wearing crowns next to small pair of fish. 8. Small pear character holding onto a lasso being held by two giant people. 9. Small person kicking crown down a very narrow hallway. 10. Two guns firing bullets into siamese twins wearing fuzzy coat and crown (The two bullets must be clearly visible). 11. A pair of shoes. 12. Toilet character falling from the sky about the hit the ground while wearing a tie. 13. Person on knees throwing a pair away to pick up another pair on the gorund. 14. A house on a river with a dog on the left side of the roof helping another dog that's falling off the si...

I need to do the following : 1- use H-MOG dataset 2- use walking activity only for only 10 different persons 3- apply the walking activity on Siamese network for feature extraction. fed the output to 3 different classifiers then use adaboost to enhance the model

...state your previous experiences with ML and Deep learning ! I would need a scene change detection for videos code written in python and using Keras. Platform: Ubuntu & Windows 10 Compatible The code would have to be: 1. be very modular 2. nicely documented and easy to follow 3. include installation instructions for both Ubuntu and Windows systems. The goal is to implement a deep learning Siamese network using transfer learning on a VGG-16 Base model to detect the scenes in a video. Please have a look at the answer to this question: Also, please have a look at the uploaded summary file. For training, a dateset of videos will be made available