Trending Projects

CRATE is a Python library that enables efficient compression and sparsification of transformer-based models.

This GitHub repository contains a dataset for training a raccoon detector using TensorFlow.

ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

A Python library for automated hyperparameter tuning and ensemble learning using scikit-learn.

A repository for replicating simple computer vision projects including attention, classification, detection, and more.

A Chinese translation of the official PyTorch book 'Deep learning with PyTorch' with runnable code examples.

Efficient Region-Aware Neural Radiance Fields for high-fidelity talking portrait synthesis

A Java library for building deep neural networks with GPU acceleration for machine learning and AI applications.

Python tools for working with the KITTI computer vision and robotics dataset

Classification models trained on ImageNet, for use in computer vision and image classification tasks.

An awesome list of resources for research on CLIP, a contrastive language-image pre-training model.

A curated collection of awesome resources for image-to-image translation, a popular computer vision task.

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution.

Luminol is an anomaly detection and correlation library for Python, useful for identifying unusual patterns in data.

Pretty Tensor is a fluent interface for building TensorFlow models in Python, making it easier for developers to work with AI.

A central hub for extending OpenMMLab's powerful computer vision capabilities with SAM and other AI features.

FeatherCNN is a high-performance inference engine for convolutional neural networks.

A JavaScript library for trading Bitcoin and running forecasting models from the terminal.

A library providing pre-trained subword embeddings in 275 languages, useful for natural language processing tasks.

A Python library for extracting complex events like conditions, causes, and reversals from Chinese text.

A Python library for fine-tuning and evaluating large language models with visual prompts.

A Node.js client for Bing's new AI-powered search, providing an advanced ChatGPT-like experience.

House3D is a realistic and rich 3D environment for AI and robotics research and development.

An open-source implementation of LLaMA-based ChatGPT that runs on a single GPU, with a 15x faster training process.

A Chinese text-to-speech engine supporting Cantonese, Tibetan and other languages.

A curated list of papers and resources on open set recognition, out-of-distribution detection, and open world recognition.

Explore large language models (LLMs) in just 512MB of RAM for NLP and AI-powered applications.

A repository with a Chinese dialogue dataset and fine-tuning code for the ChatGLM language model.

A generalized information-seeking agent system with Large Language Models (LLMs) for vibe coders.

A collection of resources for learning natural language processing, including Jupyter notebooks.

A data-centric approach to generating photorealistic human images using StyleGAN, a powerful generative AI model.

A curated list of resources for neural architecture search, a technique for automated deep learning model design.

Code for a blog post outlining five video classification methods using Keras and TensorFlow.

A PyTorch library for Deep Graph Convolutional Networks (DeepGCNs) and other graph neural network models.

A PyTorch implementation of a Scene Graph Generation method, with visualization and extraction capabilities.

Official PyTorch implementation of the PSENet text detection algorithm for computer vision tasks.

Calamari-OCR/calamari is a line-based ATR engine based on OCRopy, written in Python.

C++ extensions for PyTorch, a popular machine learning library.

An open-source deep learning based image retrieval toolbox built on PyTorch for AI and ML developers.

RAG Search API is a Python library that provides a search engine API powered by Retrieval Augmented Generation (RAG) models.

A transformer-based model for neighborhood attention, useful for computer vision tasks.

A Python project that processes and renders neural networks to gain insights on model architecture and parameters.

A simple, readable, and helpful unit testing library optimized for AI-driven development workflows.

A simple tool to calibrate neural networks and improve their performance.

An open-source toolkit for deep learning-based recommendation with TensorFlow.

Baseline systems for the DuReader dataset, a Chinese machine reading comprehension dataset.

Active learning library for training machine learning models more efficiently.

A darknet-based text detection and OCR library for developers working with computer vision AI.

A TensorFlow-based text-to-speech model for vibe coders interested in AI-powered voice applications.

A Rust library for image similarity comparison, simulating human perception using multiscale SSIM.