Open-Sora: Democratizing Efficient Video Production for All

⚡ A Fast, Extensible Progress Bar for Python and CLI

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Python module that makes working with XML feel like you are working with JSON

Diff Match Patch is a high-performance library in multiple languages that manipulates plain text.

Merge a series of JSON documents.

📚 Collaborative cheatsheets for console commands

SD-Trainer. LoRA & Dreambooth training scripts & GUI use kohya-ss's trainer, for diffusion model.

The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition

Lists the papers related to imbalance problems in object detection [TPAMI]

Domain Adaptive Faster R-CNN in PyTorch

Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

Codes for "Learning Sparse Sharing Architectures for Multiple Tasks"

PointCloud Annotation Tools, support to label object bound box, ground, lane and kerb

Implementation of ECCV 2020 paper "Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector"

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

镜像：https://scaffrey.coding.net/p/hosts/git / https://git.qvq.network/googlehosts/hosts

Open Source Computer Vision Library

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

Object Detection

Implementation of "Harmonizing Transferability and Discriminability for Adapting Object Detectors" (CVPR 2020)

An implementation of our CVPR 2018 work 'Domain Adaptive Faster R-CNN for Object Detection in the Wild'

Implementation of "Strong-Weak Distribution Alignment for Adaptive Object Detection"

Code for our CVPR19 -- "Adapting Object Detectors via Selective Cross-Domain Alignment"

The official PyTorch implementation of paper Exploring Categorical Regularization for Domain Adaptive Object Detection (CR-DA-DET)

Densely Connected Pyramid Dehazing Network (CVPR'2018)

Domain Adaptation for Image Dehazing, CVPR2020

The source code of CVPR 2020 paper "Multi-Scale Boosted Dehazing Network with Dense Feature Fusion"

AOD-Net (Pytorch & Caffe)