Easy & Modular Computer Vision Detectors, Trackers & SAM - Run YOLOv9,v8,v7,v6,v5,R,X in under 10 lines of code.

Collection of useful data science topics along with articles, videos, and code

A Great Collection of Deep Learning (e)Books

An Open Source Machine Learning Framework for Everyone

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

An open-source, low-code machine learning library in Python

Label Studio is a multi-type data labeling and annotation tool with standardized output format

An unofficial Python wrapper for OpenAI's ChatGPT API

Ultralytics YOLO11 🚀

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

This is the Study Guide for Learn Machine Learning in 3 Months (PyTorch Curriculum) by Siraj Raval on Youtube

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

The official Python library for the OpenAI API

Python example app from the OpenAI API quickstart tutorial

Fast and Accurate ML in 3 Lines of Code

Feature engineering package with sklearn like functionality

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

Lightweight Hyperparameter Optimization 🚂

OpenML's Python API for a World of Data and More 💫

A python library for decision tree visualization and model interpretation.

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

Examples and guides for using the OpenAI API

Inference code for Llama models

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

MetaSeg: Packaged version of the Segment Anything repository

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.