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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Models and examples built with TensorFlow
The official gpt4free repository | various collection of powerful language models | o4, o3 and deepseek r1, gpt-4.1, gemini 2.5
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and…
A high-throughput and memory-efficient inference and serving engine for LLMs
TensorFlow code and pre-trained models for BERT
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
OpenMMLab Detection Toolbox and Benchmark
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
AI's query engine - Platform for building AI that can learn and answer questions over large scale federated data.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
State-of-the-art 2D and 3D Face Analysis Project
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
DSPy: The framework for programming—not prompting—language models
Documentation that simply works
Graph Neural Network Library for PyTorch
☁️ Build multimodal AI applications with cloud-native stack