🤩 7 Awesome Open Source Machine Learning Project Repos👍
1. DeOldify - https://github.com/jantic/DeOldify
2. Real-Time Voice Cloning - https://github.com/CorentinJ/Real-Time-Voice-Cloning
3. Face Recognition - https://github.com/ageitgey/face_recognition
4. NeuralTalk2 - https://github.com/karpathy/neuraltalk2
5. U-GAT-IT - https://github.com/taki0112/UGATIT
6. Srez - https://github.com/david-gpu/srez
7. TecoGAN - https://github.com/thunil/TecoGAN
@Machine_learn
  
  1. DeOldify - https://github.com/jantic/DeOldify
2. Real-Time Voice Cloning - https://github.com/CorentinJ/Real-Time-Voice-Cloning
3. Face Recognition - https://github.com/ageitgey/face_recognition
4. NeuralTalk2 - https://github.com/karpathy/neuraltalk2
5. U-GAT-IT - https://github.com/taki0112/UGATIT
6. Srez - https://github.com/david-gpu/srez
7. TecoGAN - https://github.com/thunil/TecoGAN
@Machine_learn
GitHub
  
  GitHub - jantic/DeOldify: A Deep Learning based project for colorizing and restoring old images (and video!)
  A Deep Learning based project for colorizing and restoring old images (and video!) - jantic/DeOldify
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  🌐 Optimization Algorithms in Neural Networks
https://datascience-enthusiast.com/DL/Optimization_methods.html
Most used optimizers: https://www.theaidream.com/post/optimization-algorithms-in-neural-networks
@Machine_learn
  https://datascience-enthusiast.com/DL/Optimization_methods.html
Most used optimizers: https://www.theaidream.com/post/optimization-algorithms-in-neural-networks
@Machine_learn
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  Visualisation of the attention patterns of Vision Transformer
link: https://epfml.github.io/attention-cnn/
@Machine_learn
  link: https://epfml.github.io/attention-cnn/
@Machine_learn
Rotated Binary Neural Network
Github (Pytorch implementation): https://github.com/lmbxmu/RBNN
Paper: https://arxiv.org/abs/2009.13055
@Machine_learn
  
  Github (Pytorch implementation): https://github.com/lmbxmu/RBNN
Paper: https://arxiv.org/abs/2009.13055
@Machine_learn
GitHub
  
  GitHub - lmbxmu/RBNN: Pytorch implementation of our paper accepted by NeurIPS 2020 -- Rotated Binary Neural Network
  Pytorch implementation of our paper accepted by NeurIPS 2020 -- Rotated Binary Neural Network - lmbxmu/RBNN
  Adversarial Examples in Deep Learning.
https://blog.djsarkar.ai/adversarial-learning-attacks-1/
Github: https://github.com/dipanjanS/adversarial-learning-robustness
@Machine_learn
  
  
  
  
  
  https://blog.djsarkar.ai/adversarial-learning-attacks-1/
Github: https://github.com/dipanjanS/adversarial-learning-robustness
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Feature Selection with Stochastic Optimization Algorithms
https://machinelearningmastery.com/feature-selection-with-optimization/
@Machine_learning
  https://machinelearningmastery.com/feature-selection-with-optimization/
@Machine_learning
💉 MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining
Github: https://github.com/BruceWen120/medal
Paper: https://arxiv.org/abs/2012.13978v1
Dataset: https://www.kaggle.com/xhlulu/medal-emnlp
Pre-trained: https://huggingface.co/xhlu/electra-medal
@Machine_learn
  Github: https://github.com/BruceWen120/medal
Paper: https://arxiv.org/abs/2012.13978v1
Dataset: https://www.kaggle.com/xhlulu/medal-emnlp
Pre-trained: https://huggingface.co/xhlu/electra-medal
@Machine_learn
Generating Beautiful Neural Network Visualizations
https://www.kdnuggets.com/2020/12/generating-beautiful-neural-network-visualizations.html
@Machine_learn
  https://www.kdnuggets.com/2020/12/generating-beautiful-neural-network-visualizations.html
@Machine_learn
180 Data Science and Machine Learning Projects with Python
https://medium.com/coders-camp/180-data-science-and-machine-learning-projects-with-python-6191bc7b9db9
@Machine_learn
  https://medium.com/coders-camp/180-data-science-and-machine-learning-projects-with-python-6191bc7b9db9
@Machine_learn
How to Create Custom Real-time Plots in Deep Learning
https://www.kdnuggets.com/2020/12/create-custom-real-time-plots-deep-learning.html
@Machine_learn
  
  https://www.kdnuggets.com/2020/12/create-custom-real-time-plots-deep-learning.html
@Machine_learn
KDnuggets
  
  How to Create Custom Real-time Plots in Deep Learning - KDnuggets
  How to generate real-time visualizations of custom metrics while training a deep learning model using Keras callbacks.
❤1
  Not All Memories are Created Equal: Learning to Expire
Github: https://github.com/lucidrains/learning-to-expire-pytorch
Paper: https://openreview.net/forum?id=ZVBtN6B_6i7
@Machine_learn
  Github: https://github.com/lucidrains/learning-to-expire-pytorch
Paper: https://openreview.net/forum?id=ZVBtN6B_6i7
@Machine_learn
🚀 DALL·E is a 12-billion parameter version of GPT-3 trained to generate images from text descriptions
Introduction: https://openai.com/blog/tags/multimodal/
Deepmind Blog: https://openai.com/blog/dall-e/
Github: https://github.com/openai/CLIP
Paper: https://cdn.openai.com/papers/Learning_Transferable_Visual_Models_From_Natural_Language.pdf
Colab: https://colab.research.google.com/github/openai/clip/blob/master/Interacting_with_CLIP.ipynb
@Machine_learn
  Introduction: https://openai.com/blog/tags/multimodal/
Deepmind Blog: https://openai.com/blog/dall-e/
Github: https://github.com/openai/CLIP
Paper: https://cdn.openai.com/papers/Learning_Transferable_Visual_Models_From_Natural_Language.pdf
Colab: https://colab.research.google.com/github/openai/clip/blob/master/Interacting_with_CLIP.ipynb
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🔇 Deep Noise Suppression Challenge – ICASSP 2021
Github: https://github.com/microsoft/DNS-Challenge
Paper: https://arxiv.org/abs/2101.01902v1
Training and test datasets: https://github.com/microsoft/DNS-Challenge/tree/master/datasets
Challenge: https://www.microsoft.com/en-us/research/academic-program/deep-noise-suppression-challenge-icassp-2021/
@Machine_learn
  
  Github: https://github.com/microsoft/DNS-Challenge
Paper: https://arxiv.org/abs/2101.01902v1
Training and test datasets: https://github.com/microsoft/DNS-Challenge/tree/master/datasets
Challenge: https://www.microsoft.com/en-us/research/academic-program/deep-noise-suppression-challenge-icassp-2021/
@Machine_learn
GitHub
  
  GitHub - microsoft/DNS-Challenge: This repo contains the scripts, models, and required files for the Deep Noise Suppression (DNS)…
  This repo contains the scripts, models, and required files for the Deep Noise Suppression (DNS) Challenge.   - GitHub - microsoft/DNS-Challenge: This repo contains the scripts, models, and required...
  👉Lecture Notes for Linear Algebra Featuring Python
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GitHub link : https://github.com/MacroAnalyst/Linear_Algebra_With_Python
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GitHub link : https://github.com/MacroAnalyst/Linear_Algebra_With_Python
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GitHub
  
  GitHub - weijie-chen/Linear-Algebra-With-Python: Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes…
  Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative ski...
  DENet: a deep architecture for audio surveillance applications
GIthub: https://github.com/MiviaLab/DENet
Paper: https://link.springer.com/article/10.1007/s00521-020-05572-5
@Machine_learn
  
  GIthub: https://github.com/MiviaLab/DENet
Paper: https://link.springer.com/article/10.1007/s00521-020-05572-5
@Machine_learn
GitHub
  
  GitHub - MiviaLab/DENet: This repository contains the code related to the paper 'DENet: a deep architecture for audio surveillance…
  This repository contains the code related to the paper 'DENet: a deep architecture for audio surveillance applications'. - MiviaLab/DENet
  Gender recognition in the wild: a robustness evaluation over corrupted images
Github: https://github.com/MiviaLab/GenderRecognitionFramework
  
Paper: https://link.springer.com/article/10.1007/s12652-020-02750-0
@Machine_lear
  
  Github: https://github.com/MiviaLab/GenderRecognitionFramework
Paper: https://link.springer.com/article/10.1007/s12652-020-02750-0
@Machine_lear
GitHub
  
  GitHub - MiviaLab/GenderRecognitionFramework
  Contribute to MiviaLab/GenderRecognitionFramework development by creating an account on GitHub.