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A distributed framework for LLM agents

Powerful framework that acts as an add-on for Spring Boot, designed to enhance modern enterprise applications built with Java

Uni-MoE: Lychee's Large Multimodal Model Family.

Collection of common code that's shared among different research projects in FAIR computer vision team.

This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019), by Chaof…

PowerGraph: A framework for large-scale machine learning and graph computation.

State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.

SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation

Deep Learning API and Server in C++14 support for PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

Cosmos-Reason1 models understand the physical common sense and generate appropriate embodied decisions in natural language through long chain-of-thought reasoning processes.

Datasets and tools for basic natural language processing.

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project

Deep Learning Toolkit for Medical Image Analysis

Code exercises for the SLAM course in 'Computer Vision, LiDAR processing, and Sensor Fusion for Autonomous Driving' lecture series

An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.

Deep Reinforcement Learning with pytorch & visdom

[ICCV 2025] Official Implementation of "ProLearn: Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation"

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI …

[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"

An annotated implementation of the Transformer paper.

简单实现了LeNet5、AlexNet、Vgg、NiN、GoogLeNet、ResNet以及DenseNet，并将其应用到Fashion-Minst数据集

MNIST 分类问题：基于 AlexNet 简单卷积神经网络 (MNIST Dataset Classification: AlexNet Simple CNN))

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

Intro to Reinforcement Learning (强化学习纲要）

[ICLR 2025 Oral] The official implementation of "Diffusion-Based Planning for Autonomous Driving with Flexible Guidance"

[NeurIPS 2025 Main] SWE-SQL: Illuminating LLM Pathways to Solve User SQL Issues in Real-World Applications

[ICCV2025 Highlight] Stereo Any Video: Temporally Consistent Stereo Matching