wiggin66

wiggin66's Stars

• CoinCheung/pytorch-loss

  label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

  Language:Python2.2k375

• JaryHuang/awesome_SSD_FPN_GIoU

  This repository carries out some paper recurring work

  Language:Python10624

• anuraghazra/github-readme-stats

  :zap: Dynamically generated stats for your github readmes

  Language:JavaScript72.2k24.2k

• gengyanlei/reflective-clothes-detect-yolov5

  reflective-clothes-detect-dataset、helemet detection yolov5、工作服(反光衣)检测数据集、安全帽检测、施工人员穿戴检测

  Language:Jupyter Notebook481100

• szq0214/MEAL-V2

  MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.

  Language:Python69869

• Zzh-tju/DIoU-SSD-pytorch

  Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression (AAAI 2020)

  Language:Python8825

• uploadcare/pillow-simd

  The friendly PIL fork

  Language:Python2.2k92

• ZQPei/deep_sort_pytorch

  MOT using deepsort and yolov3 with pytorch

  Language:Python2.9k726

• Tencent/Forward

  A library for high performance deep learning inference on NVIDIA GPUs.

  Language:C++55267

• dusty-nv/jetson-inference

  Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

  Language:C++8.2k3k

• NVIDIA-AI-IOT/torch2trt

  An easy to use PyTorch to TensorRT converter

  Language:Python4.7k684

• isarsoft/yolov4-triton-tensorrt

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

  Language:C++28264

• yehengchen/Object-Detection-and-Tracking

  Multi-Object Tracking via DeepSORT

  Language:Python1.9k753

• ifzhang/FairMOT

  [IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking

  Language:Python4.1k930

• xingyizhou/CenterTrack

  Simultaneous object detection and tracking using center points.

  Language:Python2.4k521

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python33.6k4.9k

• codecrafters-io/build-your-own-x

  Master programming by recreating your favorite technologies from scratch.

  Language:Markdown365k33.8k

• clovaai/overhaul-distillation

  Official PyTorch implementation of "A Comprehensive Overhaul of Feature Distillation" (ICCV 2019)

  Language:Python41775

• NVIDIA/vid2vid

  Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

  Language:Python8.7k1.2k

• NVIDIA/VideoProcessingFramework

  Set of Python bindings to C++ libraries which provides full HW acceleration for video decoding, encoding and GPU-accelerated color space and pixel format conversions

  Language:C++1.3k233

• microsoft/Swin-Transformer

  This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

  Language:Python14.5k2.1k

• Cartucho/mAP

  mean Average Precision - This code evaluates the performance of your neural net for object recognition.

  Language:Python2.9k913

• FLHonker/Awesome-Knowledge-Distillation

  Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

  2.6k338

• xingyizhou/CenterNet2

  Two-stage CenterNet

  Language:Python1.2k188

• xingyizhou/CenterNet

  Object detection, 3D detection, and pose estimation using center point detection:

  Language:Python7.4k1.9k

• DingXiaoH/RepVGG

  RepVGG: Making VGG-style ConvNets Great Again

  Language:Python3.4k433

• triton-inference-server/server

  The Triton Inference Server provides an optimized cloud and edge inferencing solution.

  Language:Python9k1.5k

• linghu8812/tensorrt_inference

  Language:C++710206

• RangiLyu/nanodet

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

  Language:Python5.9k1.1k

• njvisionpower/Safety-Helmet-Wearing-Dataset

  Safety helmet wearing detect dataset, with pretrained model

  Language:Python1.5k410