Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

All Algorithms implemented in Python

🤗 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.

Models and examples built with TensorFlow

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

Inference code for Llama models

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

Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.

TensorFlow code and pre-trained models for BERT

Multi-agent framework, runtime and control plane. Built for speed, privacy, and scale.

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

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

A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.

An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

StyleGAN2 - Official TensorFlow Implementation

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

Large Language Model Text Generation Inference

Manipulate audio with a simple and easy high level interface

PyTorch tutorials.

A collection of machine learning examples and tutorials.

Depth-Aware Video Frame Interpolation (CVPR 2019)

An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

Code for the paper "Jukebox: A Generative Model for Music"

Python library for audio and music analysis

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy

[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting