Trending Projects

A library for high-resolution image synthesis using transformers, focused on computer vision applications.

A Python library for building and optimizing evolutionary algorithms.

A Python library for generating handwritten text using recurrent neural networks (RNNs) and TensorFlow.

A research corpus for benchmarking AI systems on abstract reasoning tasks.

Official implementation of a paper on improving portrait animation using global audio perception

A Swift library for chatting with private and local large language models on iOS devices.

A single-document unsupervised keyword extraction tool focused on AI and machine learning use cases.

A curated list of awesome PyTorch libraries, models, and tutorials in Chinese translation.

A memory-efficient library for training large language models (LLMs) using gradient low-rank projection.

A lightweight and efficient virtual try-on diffusion model for fashion applications.

Knowledge is a tool for saving, searching, accessing, exploring and chatting with all your favorite websites, documents and files.

Example Android app demonstrating how to use TensorFlow for machine learning on Android devices.

A comprehensive PHP Generative AI Framework using OpenAI GPT 4, inspired by Langchain.

Object tracking implementation with YOLOv4, DeepSort, and TensorFlow for computer vision applications.

A collection of research papers on transformer models for computer vision tasks like detection and segmentation.

A graph convolutional network for text classification, useful for NLP tasks and AI-powered applications.

Adala is an autonomous data labeling agent framework for building AI applications with GPT-4 and other AI tools.

A pretrained model for detecting lewd images, part of Bumble's image moderation tools.

A multi-agent financial intelligence platform for real-time news analysis, sentiment fusion, and alpha factor mining.

An open-source Python library for improving the quality of audio signals using neural networks.

Official implementation of HierSpeech++, a hierarchical speech recognition model.

A Python library that implements the mixup data augmentation technique for improving model performance on the CIFAR-10 dataset.

Official PyTorch implementation of BigVGAN, a neural vocoder for generating high-quality audio, music, and speech.

Efficient and high-quality text-to-audio generation with a latent consistency model.

ONNXMLTools enables conversion of machine learning models to the ONNX format, supporting Keras, Scikit-learn, and other frameworks.

LongBench is a benchmark for evaluating large language models on long-context tasks.

Official implementation of SAM-Med2D, a tool for medical image segmentation using transformers.

AnomalyGPT is a powerful tool for detecting industrial anomalies using large vision-language models.

An extensible and efficient quantum algorithm design library for developers working with quantum computing.

Unofficial PyTorch implementation of Self-critical Sequence Training for Image Captioning.

Bayesian methods and probabilistic programming in Python with PyMC

A comprehensive collection of resources and papers on Diffusion Models, a powerful generative AI technique.

Python library for invisible image watermarking that survives compression and transformations

A collection of Jupyter notebooks showcasing how to build and deploy machine learning models with Amazon SageMaker.

A sound cloning tool that lets you use your voice or any sound to record audio, with a web interface.

A collection of machine learning examples and tutorials for data scientists and ML engineers.

An open-source, multi-purpose AI creation toolbox for text-to-image, image/video processing, and more.

Notebooks using the Hugging Face libraries, a popular set of tools for building AI-powered applications.

A modular and easy-to-use Python library for training and using state-of-the-art retrieval models like ColBERT in RAG pipelines.

A collection of Jupyter Notebooks providing tutorials and examples for machine learning and deep learning using Python and PyTorch.

A Keras library for building sequence-to-sequence models, useful for vibe coders building AI-powered apps.

Shapash is a library that provides user-friendly explainability and interpretability for machine learning models.

A collection of system design patterns for building machine learning systems.

A Python library for multi-objective optimization, supporting a variety of algorithms like NSGA2, NSGA3, and more.

OCRFlux is a powerful PDF-to-Markdown conversion toolkit with advanced layout handling, table parsing, and cross-page content merging.

Blazing-fast GPU compute framework built on Vulkan for advanced data processing use cases.

A collection of research papers and software related to explainability in graph machine learning.

A real-time speech enhancement model that runs on a laptop CPU, useful for AI audio processing.

LaTeX files for the Deep Learning book notation, a valuable resource for developers working on AI projects.

A repository of curated books and learning resources for self-taught AI practitioners.