colinlin1982

stable-diffusion-webui

Stable Diffusion web UI

stable-diffusion

A latent text-to-image diffusion model

llama

Inference code for LLaMA models

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

ColossalAI

Making large AI models cheaper, faster and more accessible

MiniGPT-4

Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Chinese-LLaMA-Alpaca

中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

Track-Anything

Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.

nanodet

NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

LIO-SAM

LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

textual_inversion

Segment-and-Track-Anything

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.

InternImage

[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions

OFA

Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

PhySO

Physical Symbolic Optimization

simplerecon

[ECCV 2022] SimpleRecon: 3D Reconstruction Without 3D Convolutions

Unicorn

[ECCV'22 Oral] Towards Grand Unification of Object Tracking

CfC

Closed-form Continuous-time Neural Networks

Poisson_flow

Code for NeurIPS 2022 Paper, "Poisson Flow Generative Models" (PFGM)

IPC

Incremental Potential Contact (IPC) is for robust and accurate time stepping of nonlinear elastodynamics. IPC guarantees intersection- and inversion-free trajectories regardless of materials, time-step sizes, velocities, or deformation severity.

MB-iSTFT-VITS

Lightweight and High-Fidelity End-to-End Text-to-Speech with Multi-Band Generation and Inverse Short-Time Fourier Transform

ml-gmpi

[ECCV 2022, Oral Presentation] Official PyTorch implementation of GMPI

RegAD

[ECCV2022 Oral] Registration based Few-Shot Anomaly Detection

ProPose

[CVPR 2023] Learning Analytical Posterior Probability for Human Mesh Recovery

WorkControl

变电站作业管控平台。包括人脸识别考勤，移动目标跟踪，越线检测，安全措施检测，姿态识别等功能。

DiffPack

Implementation of DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing

yolo_quantization

Based of paper "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"

Face

人脸识别打卡系统

LS_3D_Reconstruction

Code and Data for "Automatically 3D reconstruction of human body based on synchronized camera array" @ Lightstage based 3D Reconstruction