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2020-hack

accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

acme

A library of reinforcement learning components and agents

adamp

Slowing Down the Weight Norm Increase in Momentum-based Optimizers

albumentations

fast image augmentation library and easy to use wrapper around other libraries

alias

animal-olympics-starter-kit

animus

Minimalistic framework to run machine learning experiments.

animus-101-post

ansible-nvidia-driver

Install the NVIDIA driver from the Ubuntu Graphics Drivers PPA

ansible-server-instance

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

blockbreaker

blockbreaker2

blog-2021-sa

bowlmaster

catalyst-examples

Examples

catalyst-rl-framework

Catalyst.RL: A Distributed Framework for Reproducible RL Research

catalyst21-post-pics

catalyst22-post-pics

char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

coursera-data-science-johns-hopkins-university-courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

coursera-data-science-specialization

coursera-data-structures-and-algorithms-specialization

coursera-introduction-to-machine-learning

coursera-machine-learning-and-data-analysis

coursera-machine-learning-andrew-ng

coursera-machine-learning-university-of-washington

cs224d

cs224d assignments 2016