Implementation of Adam and AMSGrad Optimizers
Project: https://lab-ml.com/labml_nn/optimizers/adam.html
AMSGrad: https://lab-ml.com/labml_nn/optimizers/amsgrad.html
GitHub: https://github.com/lab-ml/nn
Full list: https://lab-ml.com/labml_nn/index.html
👌
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Project: https://lab-ml.com/labml_nn/optimizers/adam.html
AMSGrad: https://lab-ml.com/labml_nn/optimizers/amsgrad.html
GitHub: https://github.com/lab-ml/nn
Full list: https://lab-ml.com/labml_nn/index.html
👌
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quant_of_the_year_candidate.pdf
2.5 MB
Lipton, A., & de Prado, M. L. (2020). A closed-form solution for optimal mean-reverting trading strategies.
#paper
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#paper
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🤩 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
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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
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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
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https://datascience-enthusiast.com/DL/Optimization_methods.html
Most used optimizers: https://www.theaidream.com/post/optimization-algorithms-in-neural-networks
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Visualisation of the attention patterns of Vision Transformer
link: https://epfml.github.io/attention-cnn/
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link: https://epfml.github.io/attention-cnn/
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Rotated Binary Neural Network
Github (Pytorch implementation): https://github.com/lmbxmu/RBNN
Paper: https://arxiv.org/abs/2009.13055
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Github (Pytorch implementation): https://github.com/lmbxmu/RBNN
Paper: https://arxiv.org/abs/2009.13055
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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
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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/
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https://machinelearningmastery.com/feature-selection-with-optimization/
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💉 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
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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
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Generating Beautiful Neural Network Visualizations
https://www.kdnuggets.com/2020/12/generating-beautiful-neural-network-visualizations.html
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https://www.kdnuggets.com/2020/12/generating-beautiful-neural-network-visualizations.html
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180 Data Science and Machine Learning Projects with Python
https://medium.com/coders-camp/180-data-science-and-machine-learning-projects-with-python-6191bc7b9db9
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https://medium.com/coders-camp/180-data-science-and-machine-learning-projects-with-python-6191bc7b9db9
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How to Create Custom Real-time Plots in Deep Learning
https://www.kdnuggets.com/2020/12/create-custom-real-time-plots-deep-learning.html
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https://www.kdnuggets.com/2020/12/create-custom-real-time-plots-deep-learning.html
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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.
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
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Github: https://github.com/lucidrains/learning-to-expire-pytorch
Paper: https://openreview.net/forum?id=ZVBtN6B_6i7
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🚀 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
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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/
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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/
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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...