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📊 Session statistics & productivity dashboard for Focusmate users
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
A collection of libraries to optimise AI model performances
The fastai book, published as Jupyter Notebooks
Jupyter notebooks for the Natural Language Processing with Transformers book
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
Chassis turns machine learning models into portable container images that can run just about anywhere.
A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
PyTorch implementations of deep reinforcement learning algorithms and environments
Pytorch starter code for UC Berkeley's cs285 assignments