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A deep learning-based project for colorizing and restoring old images and videos.
This is a comprehensive guide for building with the LLaMA language model, covering inference, fine-tuning, and end-to-end solutions.
A high-performance gradient boosting framework for machine learning tasks like ranking, classification, and more.
A PyTorch-based library for robust and high-quality blind face restoration using a codebook lookup transformer.
FramePack is a Python library that makes video diffusion more practical, allowing developers to create AI-powered video editing tools.
This repository contains lecture materials for a course on deep learning and natural language processing from the University of Oxford.
Kubeflow is a machine learning toolkit for building and deploying scalable ML pipelines on Kubernetes.
This GitHub repository contains implementations and illustrative code to accompany DeepMind's AI research publications.
An open-source AutoML toolkit for automating the machine learning lifecycle, including feature engineering, neural architecture search, and hyperparameter tuning.
A comprehensive repository covering papers, codes, datasets, tutorials, and applications for transfer learning, domain adaptation, and more.
High-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
PaddleFormers is an easy-to-use library of pre-trained large language models based on PaddlePaddle.
Gorilla is a Python tool for training and evaluating large language models (LLMs) for API/function calls.
A collection of scripts to aggregate image data for training NSFW image classifiers.
Open-source speech toolkit with state-of-the-art ASR, TTS, translation, and audio processing capabilities.
A puzzle-based learning resource for developers to explore CUDA and machine learning.
Official repo for a paper on scalable and versatile 3D generation using structured 3D latents.
Zero-shot identity-preserving text generation in seconds for vibe coders.
An open-source library for data-centric AI with tools for data quality and machine learning on messy, real-world data.
An open-source real-time object detection library powered by the YOLOv10 neural network model.
A comprehensive repository for computer vision best practices, code samples, and documentation.
A high-performance distributed file system designed for AI workloads like training and inference.
A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration.
A collection of pre-trained, state-of-the-art AI models in the ONNX format for developers to use in their projects.
A Python library for generating high-quality videos from text and images using diffusion models.
A robust and highly performant video matting library for PyTorch, TensorFlow, TensorFlow.js, ONNX, and CoreML.
Curated list of Machine Learning, NLP, Vision, and Recommender Systems project ideas for developers.
An interactive visualization tool for learning Convolutional Neural Networks (CNNs) and deep learning.
A Chinese tutorial for getting started with LangChain, a framework for building AI/ML applications.
An open-source library for running the Whisper AI speech recognition model efficiently on a variety of platforms.
A guide to deploying deep-learning inference networks and computer vision primitives with NVIDIA Jetson hardware and TensorRT.
An open-source toolbox for image and video restoration tasks like super-resolution, denoising, and deblurring.
A demo project that showcases building a conversation-based search experience with the Lepton AI platform.
UMAP is a dimension reduction library that can be used for visualization, exploration, and analysis of high-dimensional datasets.
Build effective AI agents using Model Context Protocol and simple workflow patterns in Python.
A fast and optimized implementation of Stable Diffusion with DreamBooth support, for developers building AI-powered tools and applications.
A PyTorch-based text-to-speech model that generates high-quality speech with expressive prosody.
An open-source Python tool that uses AI to remove backgrounds from images and videos with a simple command line interface.
An industry-standard navigation-mesh toolset for games, focused on AI-driven crowd simulation and pathfinding.
An open-source, distributed machine learning platform with support for various algorithms and autoML.
A Go package for computer vision using OpenCV 4 and beyond, with support for DNN, CUDA, and more.
A comprehensive tutorial for the LangChain library, a framework for building applications with large language models.
Implementation of Graph Convolutional Networks in TensorFlow for machine learning on graph-structured data.
Efficient streaming language models with attention sinks for AI-powered coding tools and applications.
An open-source real-time observability system powered by AI for monitoring and alerting on servers and services.
Flax is a flexible neural network library for JAX, designed for easy experimentation and research in machine learning.
Python code for a book on probabilistic machine learning, with support for various ML frameworks.
A curated collection of LLM papers, blogs, and projects, focused on OpenAI o1 and reasoning techniques.
Infinite Photorealistic Worlds using Procedural Generation, a library for generating realistic virtual worlds.
An educational tutorial on recommendation systems built with Python, including algorithms and use cases.
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