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

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

Official ImageNet Model repository

Pytorch - Scaled-YOLOv4: Scaling Cross Stage Partial Network

Dense Prediction Transformers

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, arXiv:1907.01341"

MuZero

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

PyTorch implementation of YOLOv4

Model Reconstruction Team for TensorFlow 2.x Model Garden

From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

PyTorch Extension Library of Optimized Graph Cluster Algorithms

Combine YOLOv3 with MiDaS with a single Resnext101 backbone

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

Submission to https://pytorch.org/hub/

A library for transfer learning by reusing parts of TensorFlow models.

Domain-invariant Stereo Matching Networks

This repository deploys YOLOv4 as an optimized TensorRT engine to Triton Inference Server

Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS

YOLOv4 Pytorch implementation with all freebies and specials and 15+ more exclusive improvements. Easy to use!

Train the HRNet model on ImageNet