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Showing 1801-1850 of 6,802 trending projects
A real-time motion tracking addon for Blender using MediaPipe and Rigify.
A PyTorch quantization backend for Optimum, a library for deploying and accelerating AI models.
Offline speech recognition for Android using the Vosk library, a popular open-source speech recognition toolkit.
A Python library with collections optimized for machine learning use cases.
CareGPT is an open-source, medical large language model (LLM) that aims to promote the rapid development of medical LLMs.
Efficient implementations of Native Sparse Attention, a key component in large language models.
Simplified facial recognition API for Python and command line
Colossal-AI optimizes large AI model training and inference with distributed computing and GPU acceleration.
Practical algorithm for real-world face restoration using GANs and deep learning.
Deprecated Llama 3 repository with links to updated Llama Stack components
Data science Python notebooks covering deep learning, machine learning, big data, and more.
PyTorch examples in vision, text, and reinforcement learning
A single-file C implementation of Llama 2 for efficient large language model inference
Open-source Chinese LLaMA and Alpaca large language models for local CPU/GPU training and deployment.
High-quality implementations of reinforcement learning algorithms for AI and machine learning research.
A comprehensive list of PyTorch-related content on GitHub, including models, libraries, and tutorials.
An open-source speech recognition toolkit used for building speech recognition systems.
Create rich visualizations with AI-powered data formulation and transformation tools.
Suite of tools for deploying and training deep learning models using the JVM
Approximate Nearest Neighbor search library in C++/Python optimized for memory usage and loading/saving to disk
Diffusion Bee is an easy-to-use app for running Stable Diffusion AI models locally on M1 Macs.
A lip sync generation tool that leverages AI to synchronize speech with video in the wild.
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation
Code to accompany a method for animating children's drawings of the human figure.
Efficient multi-head latent attention kernels for AI coding tools and frameworks.
A vision transformer model for image classification tasks, part of the Google Research project.
Deploy open-source LLMs as OpenAI-compatible API endpoints using BentoML's model serving framework.
This project aims to reproduce the Sora (Open AI T2V model) and invites the open-source community to contribute.
Unsupervised text tokenizer for neural network-based text generation and natural language processing.
Official repository for a CVPR 2024 paper on temporally consistent human image animation using diffusion models.
A collection of Jupyter notebooks showcasing how to build and deploy machine learning models with Amazon SageMaker.
A research framework for fast prototyping of reinforcement learning algorithms.
A GPU-accelerated NumPy & SciPy library for high-performance scientific computing
Open-source code release for NeRF, a neural radiance field technique for 3D scene representation.
Public facing notes page for the CS231n course on Convolutional Neural Networks.
Large Language Model Text Generation Inference library for developers working with AI tools and models.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
An image-to-image translation library using conditional adversarial networks for tasks like image generation and manipulation.
Source code for Twitter's recommendation algorithm, written in Python.
Kimi K2 is a large language model series developed by Moonshot AI team for AI-powered coding tools and applications.
Hackable and optimized Transformer building blocks for AI coding tools and libraries.
A flexible tool for creating, organizing, and sharing visualizations of live, rich data, supporting Torch and Numpy.
A booklet on machine learning systems design with exercises for developers interested in MLOps and production ML.
A Python Automated Machine Learning tool that optimizes ML pipelines using genetic programming.
An open-source computer vision library with thousands of pre-built algorithms and features.
A distributed system for running large language models (LLMs) on personal devices, enabling faster fine-tuning and inference.
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