Unsloth Studio is a web UI for training and running open models like Qwen3.5, Gemma 4, DeepSeek, gpt-oss locally.

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

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

Build, run, manage agentic software at scale.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

🦉 Data Versioning and ML Experiments

Open-source cron job and background task monitoring service, written in Python & Django

An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

NanoGPT (124M) in 2 minutes

AdalFlow: The library to build & auto-optimize LLM applications.

DeepVis Toolbox

Open source hardware and software platform to build a small scale self driving car.

Kippo - SSH Honeypot

Version control for machine learning

Experiment tracking, ML developer tools

A microframework on top of PyTorch with first-class citizen APIs for foundation model adaptation

Open Source Continuous Inference Benchmarking Qwen3.5, DeepSeek, GPTOSS - GB200 NVL72 vs MI355X vs B200 vs GB300 NVL72 vs H100 & soon™ TPUv6e/v7/Trainium2/3

XGBoost + Optuna

Data Pipeline Framework using the singer.io spec

Coding a Multimodal (Vision) Language Model from scratch in PyTorch with full explanation: https://www.youtube.com/watch?v=vAmKB7iPkWw

A command-line interface tool for serving LLM using vLLM.

Plug-and-play memory for LLMs in 3 lines of code. Add persistent, intelligent, human-like memory and recall to any model in minutes.

Dash Demo App - New York Oil and Gas

KLayout Python library for integrated quantum circuit design.

TFRecord Viewer for browsing contents of TFRecords with object detection/classification annotations.

Deep-digit-detector (and recognizer) in natural scene. A digit detection framework was implemented using keras with tensorflow backend.

Python and OpenCV scripts to detect digits on a Gas Pump