Trending Projects

A safe reinforcement learning from human feedback (RLHF) system for aligning large language models with human values.

An efficient and flexible graph learning framework based on PaddlePaddle, with support for heterogeneous graphs and meta-path learning.

A library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, for supervised speaker diarization.

A Python module for automatic keyphrase extraction from documents.

A TensorFlow implementation of Deep Reinforcement Learning algorithms and papers.

A fast symbolic computation library for robotics, with capabilities like code generation and nonlinear optimization.

Mora is a Python library for generalist video generation, allowing developers to create diverse AI-powered videos.

Kernl is a library that lets you run PyTorch transformer models several times faster on GPU with a single line of code.

A community-driven repository for Keras, a popular deep learning library for Python.

Apache OpenNLP is a machine learning-based toolkit for natural language processing (NLP) tasks.

A real-time globally consistent 3D reconstruction library using online surface re-integration.

Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3/V2, and other popular computer vision models for PyTorch.

A cleaned and curated version of the Alpaca dataset from Stanford, useful for machine learning projects.

A popular library for training, using, and evaluating word embeddings, a fundamental building block for natural language processing.

A pre-trained Chinese language model for text generation, useful for AI-powered coding and content creation.

A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources.

This is a combined repository for the RTX-Remix runtime and toolkit, focusing on path-tracing and RTX features.

Code and models for Temporal Segment Networks (TSN) for action recognition in video understanding.

A Python library that provides agent techniques to augment and push the limits of large language models (LLMs).

An AI-powered tool that extracts knowledge and generates summaries from PDF books, page by page.

A self-driving MarioKart game built with TensorFlow, a powerful machine learning library.

Distributed deep learning library for Keras and Spark, enabling scalable training of neural networks.

This repository provides a dual LSTM encoder model for generating dialog responses using machine learning.

An open-source Korean language model for understanding natural language instructions.

A Python-based library for generating videos from code, focused on the vibe coding and AI tools ecosystem.

A collection of must-read papers on adversarial attacks and defenses for natural language processing.

A minimalistic implementation of the Self Organizing Maps (SOM) algorithm for clustering and dimensionality reduction.

A Python library for deep probabilistic analysis of single-cell and spatial omics data.

Official implementation of a controllable character video synthesis model using spatial decomposed modeling.

A Java toolkit for text similarity calculation and sentiment analysis, useful for NLP tasks.

An open-source framework for detecting, highlighting, and correcting grammatical errors in natural language text.

A toolkit for 3D reconstruction and structure-from-motion computer vision tasks.

Converts any music library into a sample-library using machine learning techniques.

DeepAA is a Python library that uses deep learning to generate ASCII art from images.

PyTorch extensions for fast R&D prototyping and Kaggle competition tools

High-quality implementations of standard and state-of-the-art methods for Bayesian and probabilistic machine learning.

FCIS is a library for instance-aware semantic segmentation, a computer vision technique useful for AI and robotics applications.

An open-source feature selection repository in Python for machine learning tasks.

A toolkit to optimize machine learning models for deployment, including quantization and pruning.

In-depth tutorials for implementing deep learning models with PyTorch, a popular machine learning framework.

Spearmint is a Bayesian optimization codebase for AI and machine learning experiments.

A PyTorch implementation of YOLOv2, a fast and accurate object detection model.

This 2D Unity simulation allows cars to learn to navigate through different courses using a feedforward neural network and genetic algorithm.

An efficient C++ implementation of the RWKV language model for fast CPU inference on various bit-width quantizations.

Open-source implementation of Google Vizier for hyper parameters tuning in machine learning models.

A high-performance text-to-3D generation model for building immersive 3D experiences with AI tools.

A lightweight parameter server interface for distributed machine learning applications.

FLAN: A Flexible Language Model that can be Adapted to Various Tasks

A Chinese-language Keras documentation with more examples, explanations, and tips for developers.

A crime assistant project that includes crime type prediction and legal consultation using NLP and a crime knowledge graph.