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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
All Algorithms implemented in Python
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Robust Speech Recognition via Large-Scale Weak Supervision
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system in 275+ supported cars.
A Gradio web UI for Large Language Models.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
LlamaIndex is a data framework for your LLM applications
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Code and documentation to train Stanford's Alpaca models, and generate the data.
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
State-of-the-art 2D and 3D Face Analysis Project
🦔 PostHog provides open-source product analytics, session recording, feature flagging and A/B testing that you can self-host.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Best Practices on Recommendation Systems
Open source platform for the machine learning lifecycle
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas…
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Machine Learning Engineering Open Book
Incredibly fast crawler designed for OSINT.
High-Resolution 3D Human Digitization from A Single Image.
Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!