Highlights
Lists (22)
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🧊 3D Printing and CAD
Software and hardware for 3D printing and CAD🎧 Audio/Video Applications
Interesting audio/video/MIDI-processing applications.🔉 Audio/Video Libraries
Audio/video/MIDI-processing libraries.💻 Command Line Tools
CLI tools and utilities.⚙️ Compilers
Compilers, interpreters, runtimes, debuggers, language servers and other programming language-specific tools🪩 Computer Graphics
Interesting computer graphics projects, e.g. 3D renderers.🐳 Containers, VMs and Emulation
Anything Docker/K8s or virtualization/emulation-related✏️ Developer Tools
Applications for software development/programming, e.g. editors.🌎 Distributed Systems
Anything related to distributed systems, including applications, libraries, etc.🪚 DIY Projects
Cool stuff to build yourself🎓 Education
Educational tools🔋 Embedded, Hardware and RE
Embedded software, firmware, hardware-related projects, PCBs, reverse-engineering etc.🍬 Fun Stuff
Cool tech demos and some humorous stuff🎲 Games
Open-source games or game-related engines, servers, libraries (e.g. for chess)🪟 GUI, Windowing and Desktop
UI Frameworks, Window Managers, Desktop Environments etc.💡 Machine Learning
ML/Data Science-related libraries and applications.🧮 Mathematics
Math-related applications and libraries, e.g. numerics, visualization, computer algebra, etc.📦 Package Managers
Package managers, build tools, etc.🖌️ Image Editing
Bitmap and vector editing, painting, etc.🌎 Web, E-Mail & Calendar
Web browsers, web servers, HTML/CSS/JS engines, e-mail clients, e-mail servers etc.🖼️ Web Frameworks
Frameworks and libraries for creating dynamic websites.📎 Writing Tools
Text processing, notetaking, LaTeX packages, document converters, desktop publishing and more.Stars
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A latent text-to-image diffusion model
Examples and guides for using the OpenAI API
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
🔊 Text-Prompted Generative Audio Model
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A game theoretic approach to explain the output of any machine learning model.
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…
Instruct-tune LLaMA on consumer hardware
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
StableLM: Stability AI Language Models
Examples and guides for using the Gemini API
llama3 implementation one matrix multiplication at a time
This repository contains the source code for the paper First Order Motion Model for Image Animation
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
High-Resolution Image Synthesis with Latent Diffusion Models
Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely
PyTorch code and models for the DINOv2 self-supervised learning method.
Public facing notes page
Code release for NeRF (Neural Radiance Fields)
Official inference library for Mistral models
🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
A collection of pre-trained, state-of-the-art models in the ONNX format
A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
CoreNet: A library for training deep neural networks
Flax is a neural network library for JAX that is designed for flexibility.
A scikit-learn compatible neural network library that wraps PyTorch
Tacotron 2 - PyTorch implementation with faster-than-realtime inference