Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Open-source Python framework for training and backtesting financial trading agents with deep reinforcement learning.
A free course teaching how to design, develop, deploy, and iterate on production-grade machine learning applications in Python.
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
PyTorch library for audio generation research, providing inference and training code for MusicGen, AudioGen, and EnCodec.
Open-source GPU cluster orchestrator and PyTorch-based framework for training LLMs with billions to trillions of parameters.
A neural network from OpenAI that scores how well text snippets match images, trained on image-text pairs for zero-shot prediction.
A free, cohort-based course teaching ML engineering: training models, exposing them via APIs, and deploying with Docker, Kubernetes, and AWS Lambda.
Developer hub with training recipes, cookbooks, datasets, and end-to-end examples for building with NVIDIA's open Nemotron models.
Covers pre-training data, Tokenizer, Transformer, MoE,distributed training, Scaling Laws, inference & alignment .6 progressive code assignments for full-stack LLM learning | 涵盖预训练数据、分词器、Transformer、MoE、分布式训练、缩放定律、推理与对齐,6 项渐进代码作业,掌握 LLM 全栈知识
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Disaggregated quantization official codebase
End-to-end project training and building AI models / LLMs to detect AI-written text
Python training for business analysts and traders
Accessible Google Colab notebooks for Stable Diffusion Lora training, based on the work of kohya-ss and Linaqruf
Efficient & Scalable Video Pretraining without the Heuristics
This repository is maintained by Hex Core 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
FLUX, Stable Diffusion, SDXL, SD3, LoRA, Fine Tuning, DreamBooth, Training, Automatic1111, Forge WebUI, SwarmUI, DeepFake, TTS, Animation, Text To Video, Tutorials, Guides, Lectures, Courses, ComfyUI, Google Colab, RunPod, Kaggle, NoteBooks, ControlNet, TTS, Voice Cloning, AI, AI News, ML, ML News, News, Tech, Tech News, Kohya, Midjourney, RunPod
TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.
A single executed notebook building and training a small GPT with RoPE and a phase-aware sparse MoE experiment
This repository contains the lecture materials, notebooks, code, datasets, assignments, demonstrations, and resources used during the Industry-Oriented AI Foundamentals Training Program conducted in August 2026.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
CoreNet: A library for training deep neural networks
RadixQuantVLA is a unified, Lego-like framework for post-training quantization, benchmarking, and deployment preparation of Vision-Language-Action models, integrating QuantVLA, Omega-QVLA, OpenVLA, UniVLA, StarVLA, GR00T, and Pi0.5 routes with standardized launchers and validation on LIBERO benchmarks.
A Chinese-language tutorial book that teaches LLM principles and walks through building and training a small LLaMA2-style model from scratch.