Trending Projects

An easy-to-use Python library for generating sentence embeddings using the Smooth Inverse Frequency (SIF) weighting scheme.

PyTorch course and tutorials for developers interested in learning and applying AI/ML tools.

AI-powered digital assistant that keeps your data private, with intelligent summaries and task tracking.

A C++ library for real-time, rotation-invariant face detection using progressive calibration networks.

A powerful open-world object detection model for computer vision tasks, leveraging the DINO framework.

A Keras port of the Single Shot MultiBox Detector (SSD) for object detection in computer vision.

This repository contains information about digital humans, likely focused on computer graphics and visualization.

An open-source AI-powered face swap tool, focused on the Chinese market.

A TensorFlow-based sequence-to-sequence (seq2seq) RNN model for signal forecasting and time series prediction.

A PyTorch implementation of the original Transformer model with interactive visualizations.

A PyTorch implementation of Temporal Segment Networks (TSN) for video understanding and action recognition.

A simple Python script demonstrating the backpropagation algorithm for training a neural network.

A Python library for OCR text recognition using a CNN-based seq2seq model with visual attention, compatible with Google Cloud ML Engine.

A COVID-19 research project that uses molecular dynamics simulations to understand the SARS-CoV-2 virus.

Aria is an open-source multimodal AI framework for building vision and language models.

A collection of Jupyter Notebooks for a Machine Learning course, focused on Python and AI/ML concepts.

A Python repository focused on natural language processing (NLP) tools and techniques.

Implementation of SegNet, a deep convolutional encoder-decoder for semantic pixel-wise labeling.

TableBank is a benchmark dataset for table detection and recognition, useful for building computer vision models.

An open-source OCR engine developed by SYSU DeepDriving Lab, focused on computer vision tasks.

Official implementation of an ultra-fast single-view 3D reconstruction tool built with Python.

An open-source Java machine learning framework for rapid development of ML and statistical apps.

A paper list for equivariant neural networks, a powerful AI architecture for symmetry-aware ML models.

A collaborative spreadsheet-like platform for building and experimenting with AI applications.

A real-time, expressive chatbot using LLM and TTS, with support for QQ robot and various media types.

An AI-powered anime super-resolution tool built for developers who work with computer vision models.

A Python library that implements the YOLOv3 object detection algorithm using MobileNetV2 and ASFF.

Uni-MoE is a large multimodal model family from Lychee, a Python library for AI model development and deployment.

Rotary Transformer, a Python library for Transformer models that incorporates rotary position encoding.

A Python library that generates 3D textured meshes from text prompts using 2D text-to-image models.

High quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

A Python library that allows segmenting any element in an image using semantic strings, based on GroundingDino and SAM.

This is a library for solving partial differential equations using neural networks.

A text classifier library that uses Hierarchical Attention Networks for document classification.

An NLP workshop providing concrete solutions to real-world problems using Jupyter Notebooks.

MSF is a modular framework for multi-sensor fusion based on an Extended Kalman Filter, useful for robotics and computer vision applications.

This repository contains a CVPR2024 paper on referring human dance generation using AI tools.

A set of LLM tutorials for developers interested in learning about large language models.

A versatile generalist AI agent for developers building with AI tools and MCP frameworks.

A collection of chapter summaries for the Deep Learning Book, making it easier to understand.

A PyTorch library for attacking and defending deep learning models against adversarial examples.

Tools for causal analysis, helping developers understand and model causal relationships in their data.

An implementation of Graph Transformer Networks, a neural network architecture for graph-structured data.

AIConfig is a config-based framework to build generative AI applications using Python.

A desktop application that allows you to chat with your local documents using large language models.

An open-source ML system for the end-to-end data science lifecycle, including Java and Python support.

Lumina-mGPT 2.0 is a stand-alone autoregressive image modeling tool powered by Python.

A fast CUDA matrix multiplication library from scratch for high-performance computing and AI workloads.

A Python library for Chinese sentiment analysis using CNN, Bi-LSTM, and text classification.

A Python library for fast reconstruction of neural radiance fields from direct voxel grid optimization.