Stars
DissolveStereo: Coarse Depth Injection for Zero-Shot Stereo Video Generation [SIGGRAPH/TOG 2026]
Official repo for: Epipolar Geometry Improves Video Generation Models
[ECCV 2024] Official Repo for: Dataset Enhancement with Instance-Level Augmentations
A diffuser implementation of Zero123. Zero-1-to-3: Zero-shot One Image to 3D Object (ICCV23)
A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.
A map tool with real-time collaboration 🗺️
✍️ A carefully curated list of NLP paper summaries
An implementation of Org mode without the dependency of Emacs - built for mobile and desktop browsers
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Anatomy of Matplotlib -- tutorial developed for the SciPy conference
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
The Stan Math Library is a C++ template library for automatic differentiation of any order using forward, reverse, and mixed modes. It includes a range of built-in functions for probabilistic model…
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
A PyTorch Implementation of "Recurrent Models of Visual Attention"
Material for the EPFL master course "A Network Tour of Data Science", edition 2016.
Neural Turing Machines (NTM) - PyTorch Implementation
Summaries and notes on Deep Learning research papers
Bayesian Modeling and Probabilistic Programming in Python
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)