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Showing 901-950 of 6,802 trending projects
A Python-based platform for creating and managing AI-powered avatars and virtual assistants.
Real-time object detection transformer that outperforms YOLOs, built with Paddle PyTorch.
Code for a model that learns to summarize text from human feedback, useful for AI-powered summarization.
Audio-driven human animation framework for realistic talking faces and body motion generation.
VideoX is a collection of video cross-modal models for developers working with AI-powered video tools.
Facebook's extensions to the Torch/CUNN deep learning framework, primarily for GPU-accelerated neural network computations.
Official PyTorch implementation of the MultiDiffusion model for controlled image generation, presented at ICML 2023.
All-in-one training for vision models with pretraining, fine-tuning, and distillation capabilities.
A deep dive into the fundamentals of embeddings, a powerful machine learning technique for NLP.
AudioCraft is a PyTorch library for audio generation with deep learning models like MusicGen and AudioGen.
Janus-Series: Unified Multimodal Understanding and Generation Models for AI-powered vibe coders.
Evidently is an open-source ML and LLM observability framework to evaluate, test, and monitor AI-powered systems.
An index of algorithms for offline reinforcement learning (offline-rl) targeting AI and ML researchers.
A zero-shot multi-speaker text-to-speech (TTS) and voice conversion library for developers.
Customizable implementation of the self-instruct paper for AI-powered coding tools and workflows.
An open-source AI toolkit for medical imaging and healthcare applications built on PyTorch.
Official PyTorch implementation of a scalable diffusion model with Transformers for AI-powered applications.
An open-source face recognition system with a rich set of computer vision features and APIs.
This is Anthropic's original performance take-home, now open for developers to try out AI tools and technologies.
VideoRAG is a large-language-model-based system that enables chatting with long-form video content.
A Python library for generating human-centric videos using collaborative multi-modal conditioning.
Ultra-efficient large language models (LLMs) for end devices, enabling fast on-device reasoning and inference.
An open-source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
A Python library for building real-time communication applications using AI tools like speech-to-text and text-to-speech.
A large language model from Tencent's Hunyuan project, potentially useful for AI-powered coding tools and applications.
An open-source framework for building AI-powered applications with reusable components and agent-based architectures.
A Python library for automated hyperparameter tuning and ensemble learning using scikit-learn.
A curated list of gradient boosting research papers with implementations in Python.
A multimodal evaluation toolkit for assessing AI models across text, image, video, and audio tasks.
LeetCode for PyTorch, a Jupyter Notebook-based coding practice platform for AI/ML developers.
A comprehensive tutorial on Kalman filters, extended Kalman filters, and more using Jupyter Notebooks.
A distributed system for running large language models (LLMs) on personal devices, enabling faster fine-tuning and inference.
A fun project that generates AI-powered random nonsense essays in Chinese, for a good laugh.
An awesome curated list of zero-knowledge machine learning resources for developers.
A toolbox for open-world and high-quality image segmentation, with pre-trained models and PyTorch-based implementation.
This is a repository of notes for a developer focused on building with AI tools and frameworks.
A C++ fork of the llama.cpp project with additional SOTA quants and improved performance for AI-focused developers.
Taipy is a Python library that helps developers turn data and AI algorithms into production-ready web apps quickly.
NVIDIA TensorRT is an SDK for high-performance deep learning inference on NVIDIA GPUs.
ZeroSearch: A Python library that incentivizes the search capability of large language models without actually searching.
TinyMaix is a tiny inference library for microcontrollers, enabling efficient AI/ML on resource-constrained devices.
A collection of notes and code for the Andrew Ng Deep Learning course, useful for learning AI and ML concepts.
A handbook for beginners on writing AI conference papers, useful for vibe coders working with AI tools.
Accelerates production deployment of AI agents with scale, reliability, and security via the Amazon Bedrock Agentcore.
A PyTorch implementation of the U-Net for image semantic segmentation with high quality images.
A collection of Jupyter Notebook tutorials for accelerated tabular data machine learning in Python.
A real-time motion tracking addon for Blender using MediaPipe and Rigify.
Advanced AI Explainability library for computer vision models built with PyTorch.
An optimized cloud and edge inference solution for deploying and running machine learning models.
A chatbot that allows you to chat with and extract information from PDF documents using language models and AI.
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