AI open source rankings.

Home Assistant Voice PE

An Open-Source Package for Textual Adversarial Attack.

A language-agnostic interface to TensorBoard

Precise RoI Pooling with coordinate gradient support, proposed in the paper "Acquisition of Localization Confidence for Accurate Object Detection" (https://arxiv.org/abs/1807.11590).

PyTorch code for "PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer" (CVPR 2020 Oral)

Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper

Official code for VisProg (CVPR 2023 Best Paper!)

Master Thesis "ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network"

Official repository for "Context Language Models"

A deep neural network that learns to drive in video games

Parameter server framework for distributed machine learning

Easily create LLM tools and agents using plain Bash/JavaScript/Python functions.

[CVPR 2020] CenterMask : Real-Time Anchor-Free Instance Segmentation

Introducing neural networks to predict stock prices

A set of useful QA agents for Claude Code.

Neural relational inference for interacting systems - pytorch

Contriever: Unsupervised Dense Information Retrieval with Contrastive Learning

hpc 教程，包含集合通信(mpi、nccl)、cuda 编程、向量化 SIMD、RDMA 通信等

This repo contains all of my TensorFlow tutorials

[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison

Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)

LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic

[ICML 2024] MagicPose(also known as MagicDance): Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion

FSGAN - Official PyTorch Implementation

UI components for AI interfaces

Deep Metric Learning

iBOT :robot:: Image BERT Pre-Training with Online Tokenizer (ICLR 2022)

Notebook-based book "Introduction to Robotics and Perception" by Frank Dellaert and Seth Hutchinson