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Stars
A latent text-to-image diffusion model
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
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 ;)
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Simple tutorials using Google's TensorFlow Framework
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
Useful functions, tutorials, and other Python-related things
Lectures on scientific computing with python, as IPython notebooks.
Beaker Extensions for Jupyter Notebook
Structured state space sequence models
Handout for the tutorial "Creating publication-quality figures with matplotlib"
Open-source implementation of Google Vizier for hyper parameters tuning
Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackable.
Koç University deep learning framework.
A modular embodied agent architecture and platform for building embodied agents
[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.
Use evolutionary algorithms instead of gridsearch in scikit-learn
[CVPR 2024] Alpha-CLIP: A CLIP Model Focusing on Wherever You Want
Pytorch implementation of Augmented Neural ODEs 🌻
A prompting enhancement library for transformers-type text embedding systems
18.335 - Introduction to Numerical Methods course
Diffusion Reading Group at EleutherAI
A short course on Julia and open-source software development
Pytorch implementation of diffusion models on Lie Groups for 6D grasp pose generation https://sites.google.com/view/se3dif/home
GPU Programming with Julia - course at the Swiss National Supercomputing Centre (CSCS), ETH Zurich
The Annotated Encoder Decoder with Attention
Differentiable bitonic sorting
A general-purpose, deep learning-first library for constrained optimization in PyTorch