Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
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. π₯ Also check: https://hackertraining.org
A collection of pre-trained, state-of-the-art models in the ONNX format
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Silero Models: pre-trained text-to-speech models made embarrassingly simple
Disaggregated quantization official codebase
TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code π.
Accessible Google Colab notebooks for Stable Diffusion Lora training, based on the work of kohya-ss and Linaqruf
End-to-end project training and building AI models / LLMs to detect AI-written text
Train a Jev-like multimodal model by yourself. System One Model, now with vision.
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. π₯ Also check: https://hackertraining.org
Python training for business analysts and traders
βTextWorld 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 π Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using π§ Amazon SageMaker.
CoreNet: A library for training deep neural networks
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
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.