Stars
Google Research
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Data and code behind the articles and graphics at FiveThirtyEight
This repository contains implementations and illustrative code to accompany DeepMind publications
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Official inference library for Mistral models
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Flax is a neural network library for JAX that is designed for flexibility.
Efficient Image Captioning code in Torch, runs on GPU
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Massively parallel rigidbody physics simulation on accelerator hardware.
NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entr…
Handout for the tutorial "Creating publication-quality figures with matplotlib"
Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)
A pedagogical implementation of Autograd
Home to the design and engine of the @Lux-AI-Challenge Season 1, hosted on @kaggle
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
DayDreamer: World Models for Physical Robot Learning
Simple code for generating a color-coded latex table from raw data
NYU PSYCH-GA 3405.002 / DS-GS 3001.006 : Computational cognitive modeling
A python implementation of Gate Set Tomography
Pop Music Maker built on HMM and Random Forest-like structure. Inspired by the desire to build my own model can serve as alternative to LSTMs / deep learning in generating pop music. Website is cur…
Python tools for analyzing both classical and quantum Bayesian Networks
Python notebooks for a tutorial on neurosymbolic programming
Slide decks and Jupyter notebooks for training on Rigetti's quantum software stack at the Creative Destruction Lab 2018.
A training of various neural networks to approximate the mandelbrot fractal image.