🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

AI agents running research on single-GPU nanochat training automatically

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

The simplest, fastest repository for training/finetuning medium-sized GPTs.

The original local LLM interface. Text, vision, tool-calling, training, and more. 100% offline.

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.

LLM training in simple, raw C/CUDA

This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. 🔥 Also check: https://hackertraining.org

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

为键盘工作者设计的单词记忆与英语肌肉记忆锻炼软件 / Words learning and English muscle memory training software designed for keyboard workers

Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

A WebGL accelerated JavaScript library for training and deploying ML models.

Machine Learning Engineering Open Book

Toolkit for linearizing PDFs for LLM datasets/training

Ongoing research training transformer models at scale

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...

Python training for business analysts and traders

Damn Vulnerable Web Application (DVWA)

Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

Beginner, advanced, expert level Rust training material

Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier

Go Training Class Material :

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.