The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

Solve puzzles. Learn CUDA.

🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)

PyTorch code and models for the DINOv2 self-supervised learning method.

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

Bayesian optimization in PyTorch

Segment Anything in Medical Images

MONAI Tutorials

Hackers' Guide to Language Models

Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris

functorch is JAX-like composable function transforms for PyTorch.

Code for the Lovász-Softmax loss (CVPR 2018)

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

a generalist algorithm for cellular segmentation with human-in-the-loop capabilities

Jupyter widget to interactively view molecular structures and trajectories

Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two lines of code.

CUDA-accelerated GIS and spatiotemporal algorithms

Graph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, NetworkX, RAPIDS, RDFlib, pySHACL, PyVis, morph-kgc, pslpyth…

String-to-String Algorithms for Natural Language Processing

A simple & elegant experiment tracking framework that integrates persistence logic & best practices directly into Python

Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.

Scientific Python Geometric Algorithms Library

cuCIM - RAPIDS GPU-accelerated image processing library

Segment Anything for Microscopy

Towards a general-purpose foundation model for computational pathology - Nature Medicine

Provides everything needed for high performance data loading and augmentation in pytorch.

FC-DenseNet in PyTorch for Semantic Segmentation

Spark style guide