📊 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

IDE for PyTorch and its ecosystem

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.

The fastai deep learning library

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

Tonic RL library

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