chongshenng

gpt4all

GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

openai-cookbook

Examples and guides for using the OpenAI API

privateGPT

Interact with your documents using the power of GPT, 100% privately, no data leaks

segment-anything

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.

ruff

An extremely fast Python linter and code formatter, written in Rust.

ControlNet

Let us control diffusion models!

ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

netron

Visualizer for neural network, deep learning and machine learning models

PlotNeuralNet

Latex code for making neural networks diagrams

llama2.c

Inference Llama 2 in one file of pure C

rust-by-example

Learn Rust with examples (Live code editor included)

serge

A web interface for chatting with Alpaca through llama.cpp. Fully dockerized, with an easy to use API.

tensortrade

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

warp

A Python framework for high performance GPU simulation and graphics

DAMO-YOLO

DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.

PhysX

NVIDIA PhysX SDK

pml2-book

Probabilistic Machine Learning: Advanced Topics

keras-core

A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.

MAPIE

A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.

skforecast

Time series forecasting with machine learning models

pistreaming

A little demo of streaming the Pi's camera to web browsers

intro-to-pytest

An introduction to PyTest with lots of simple, hackable examples

Awesome-Federated-Learning-on-Graph-and-GNN-papers

Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.

TabularBenchmarks

tspiral

A python package for time series forecasting with scikit-learn estimators.

Py-Boost

Python based GBDT implementation on GPU. Efficient multioutput (multiclass/multilabel/multitask) training

awesome-conformal-prediction

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

Practical-Guide-to-Applied-Conformal-Prediction

Practical Guide to Applied Conformal Prediction, published by Packt

gradient-accumulation-blog

Finetuning BLOOM on a single GPU using gradient-accumulation

decentralizedAI_dermatology

Experiments of the DAI in Healthcare project - skin lesions images use case - using Flower