yLiang94

yLiang94's Stars

• facebookresearch/detectron2

  Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

  Language:Python30.4k7.5k

• wzpan/cmake-demo

  《CMake入门实战》源码

  Language:CMake2.2k914

• 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:Python5.7k1k

• ultralytics/yolov3

  YOLOv3 in PyTorch > ONNX > CoreML > TFLite

  Language:Python10.2k3.4k

• eriklindernoren/Keras-GAN

  Keras implementations of Generative Adversarial Networks.

  Language:Python9.2k3.1k

• xamyzhao/brainstorm

  Implementation of "Data augmentation using learned transforms for one-shot medical image segmentation"

  Language:Python39291

• ANTsX/ANTsPy

  A fast medical imaging analysis library in Python with algorithms for registration, segmentation, and more.

  Language:Python636162

• tkuanlun350/3DUnet-Tensorflow-Brats18

  3D Unet biomedical segmentation model powered by tensorpack with fast io speed

  Language:Python20268

• amusi/AI-Job-Notes

  AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

  5.2k639

• voxelmorph/voxelmorph

  Unsupervised Learning for Image Registration

  Language:Python2.3k581

• Jakel21/vehicle-ReID-baseline

  vehicle re-identification baseline for veri and vehicleID dataset

  Language:Python13944

• qubvel/classification_models

  Classification models trained on ImageNet. Keras.

  Language:Python1.2k307

• qubvel/efficientnet

  Implementation of EfficientNet model. Keras and TensorFlow Keras.

  Language:Python2.1k471

• Tencent/MedicalNet

  Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

  Language:Python1.9k414

• jadore801120/attention-is-all-you-need-pytorch

  A PyTorch implementation of the Transformer model in "Attention is All You Need".

  Language:Python8.8k2k

• keras-team/keras

  Deep Learning for humans

  Language:Python62k19.5k

• qubvel/segmentation_models

  Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

  Language:Python4.7k1k

• instillai/TensorFlow-Course

  :satellite: Simple and ready-to-use tutorials for TensorFlow

  Language:Jupyter Notebook16.4k3.2k

• basveeling/pcam

  The PatchCamelyon (PCam) deep learning classification benchmark.

  Language:Python474107

• luuuyi/CBAM.PyTorch

  Non-official implement of Paper：CBAM: Convolutional Block Attention Module

  Language:Python1.3k286

• aleju/imgaug-doc

  Code and assets to generate the documentation of imgaug

  Language:Jupyter Notebook15550

• aleju/imgaug

  Image augmentation for machine learning experiments.

  Language:Python14.4k2.4k

• notmatthancock/pylidc

  An object relational mapping for the LIDC dataset using sqlalchemy.

  Language:Python10541

• HaidYi/docker-deeplearning

  In this repo, we provide some basic images for different deep learning framework, tensorflow, pytorch.

  Language:Dockerfile1

• pytorch/vision

  Datasets, Transforms and Models specific to Computer Vision

  Language:Python16.2k6.9k

• facebookresearch/maskrcnn-benchmark

  Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

  Language:Python9.3k2.5k

• jwyang/fpn.pytorch

  Pytorch implementation of Feature Pyramid Network (FPN) for Object Detection

  Language:Python954224

• jwyang/faster-rcnn.pytorch

  A faster pytorch implementation of faster r-cnn

  Language:Python7.7k2.3k

• bundasht/UDPChat

  Simple chat using socket library and udp protocol

  Language:Python3