YoungSharp

YoungSharp's Stars

• JiawangBian/GMS-Feature-Matcher

  GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence (CVPR 17 & IJCV 20)

  Language:Python1.1k359

• 666DZY666/micronet

  micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

  Language:Python2.2k478

• jkjung-avt/hand-detection-tutorial

  A tutorial on how to train a hand detector with TensorFlow Object Detection API

  Language:Python19154

• jkjung-avt/tensorrt_demos

  TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet

  Language:Python1.8k548

• rasbt/deeplearning-models

  A collection of various deep learning architectures, models, and tips

  Language:Jupyter Notebook16.8k4k

• xitu/gold-miner

  🥇掘金翻译计划，可能是世界最大最好的英译中技术社区，最懂读者和译者的翻译平台：

  33.9k5k

• microsoft/terminal

  The new Windows Terminal and the original Windows console host, all in the same place!

  Language:C++96.4k8.4k

• guan-yuan/awesome-AutoML-and-Lightweight-Models

  A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

  849161

• mrgloom/awesome-semantic-segmentation

  :metal: awesome-semantic-segmentation

  10.6k2.5k

• amusi/awesome-lane-detection

  A paper list of lane detection.

  3k776

• cbsudux/awesome-human-pose-estimation

  A collection of awesome resources in Human Pose estimation.

  2.5k410

• weiaicunzai/awesome-image-classification

  A curated list of deep learning image classification papers and codes

  2.9k600

• amusi/awesome-object-detection

  Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

  7.4k1.9k

• amusi/TensorFlow-From-Zero-To-One

  TensorFlow 最佳学习资源大全（含课程、书籍、博客、公开课等内容）

  Language:Jupyter Notebook1.1k334

• ai4ce/peac

  [ICRA2014] Fast Plane Extraction Using Agglomerative Hierarchical Clustering (AHC)

  Language:C++13836

• jindongwang/transferlearning

  Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

  Language:Python13.6k3.8k

• protocolbuffers/protobuf

  Protocol Buffers - Google's data interchange format

  Language:C++66.2k15.6k

• microsoft/SEAL

  Microsoft SEAL is an easy-to-use and powerful homomorphic encryption library.

  Language:C++3.7k712

• darxtrix/ptop

  An awesome task manager written in python. :computer:

  Language:Python57744

• horance-liu/tensorflow-internals

  It is open source ebook about TensorFlow kernel and implementation mechanism.

  Language:TeX2.9k583

• pytorch/examples

  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

  Language:Python22.6k9.6k

• minghao-wu/CRF-AE

  Code for EMNLP 2018 paper https://arxiv.org/pdf/1808.09075.pdf

  Language:Python386

• shangjingbo1226/AutoNER

  Learning Named Entity Tagger from Domain-Specific Dictionary

  Language:ChucK48291

• juntang-zhuang/ShelfNet

  implementation for paper "ShelfNet for fast semantic segmentation"

  Language:Python25241

• miguelvr/dropblock

  Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

  Language:Python59095

• NVlabs/Deep_Object_Pose

  Deep Object Pose Estimation (DOPE) – ROS inference (CoRL 2018)

  Language:Python1k289

• RubensZimbres/Repo-2018

  Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageMaker + AWS API Gateway + Raspberry Pi3 Ubuntu Core

  Language:Jupyter Notebook17380

• afshinea/stanford-cs-230-deep-learning

  VIP cheatsheets for Stanford's CS 230 Deep Learning

  6.4k1.4k

• for-ai/Targeted-Dropout

  Complementary code for the Targeted Dropout paper

  Language:Python25646

• google-research/bert

  TensorFlow code and pre-trained models for BERT

  Language:Python38.5k9.6k