jackyyuanzz

jackyyuanzz's Stars

• ultralytics/yolov5

  YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

  Language:Python49.7k3679.2k16.1k

• 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:Python31.5k3109074.7k

• xinntao/Real-ESRGAN

  Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

  Language:Python27.7k2366663.5k

• onnx/onnx

  Open standard for machine learning interoperability

  Language:Python17.6k4392.8k3.7k

• Sanster/lama-cleaner

  Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.

  Language:Python15.1k1203361.6k

• utkuozbulak/pytorch-cnn-visualizations

  Pytorch implementation of convolutional neural network visualization techniques

  Language:Python7.8k1141061.5k

• eriklindernoren/PyTorch-YOLOv3

  Minimal PyTorch implementation of YOLOv3

  Language:Python7.3k1037052.6k

• quark0/darts

  Differentiable architecture search for convolutional and recurrent networks

  Language:Python3.9k87167842

• tianzhi0549/FCOS

  FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

  Language:Python3.3k59378629

• Cartucho/mAP

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

  Language:Python2.9k39146909

• marcoslucianops/DeepStream-Yolo

  NVIDIA DeepStream SDK 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models

  Language:C++1.4k32547355

• cszn/BSRGAN

  Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!

  Language:Python1.2k3843179

• davidmrau/mixture-of-experts

  PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538

  Language:Python94252697

• Linaom1214/TensorRT-For-YOLO-Series

  tensorrt for yolo series (YOLOv10,YOLOv9,YOLOv8,YOLOv7,YOLOv6,YOLOX,YOLOv5), nms plugin support

  Language:Python90010124152

• tensorflow/compression

  Data compression in TensorFlow

  Language:Python85046102248

• scikit-video/scikit-video

  Video Processing in Python

  Language:Python67223122145

• gaschler/bounding-mesh

  Implementation of the bounding mesh and bounding convex decomposition algorithms for single-sided mesh approximation

  Language:C++332191247

• fab-jul/torchac

  Entropy coding / arithmetic coding for PyTorch

  Language:Python2304712

• KumaTea/pytorch-aarch64

  PyTorch wheels (whl) & conda for aarch64 / ARMv8 / ARM64

  Language:HTML21741618

• Anserw/Bjontegaard_metric

  Bjontegaard metric calculation. Include BD-PSNR and BD-rate

  Language:Python1355138

• tjubiit/TJU-DHD

  A newly built high-resolution dataset for object detection and pedestrian detection (IEEE TIP 2020)

  13571316

• Netflix/sureal

  Subjective quality scores recovery from noisy measurements.

  Language:Python1203141532

• jcrisp88/flutter-webrtc_python-aiortc-opencv

  Flutter WebRTC demo with Python server to perform image processing on video frames using OpenCV

  Language:Dart633218

• weigq/iclr2022_stats

  Language:HTML47433

• previtus/AttentionPipeline

  internship project at CMU, 2017-2018

  Language:Python40565

• stereolabs/zed-opencv-native

  Native stereo capture with OpenCV

  Language:C++3761322

• labradon/yuvio

  Python package for reading and writing uncompressed yuv image and video data.

  Language:Python30324

• shah314/samultichoiceknapsack

  Simulated Annealing for the Multiple Choice Multidimensional Knapsack Problem

  Language:C++13504

• arplaboratory/traj_plan_lib_dep

  arpl trajectory planning dependencies

  Language:C3200

• LucasJavaudin/mckp_cpp

  Algorithms for the Multiple-Choice Knapsack Problem

  Language:C++2001