dialogueeeeee

dialogueeeeee's Stars

• wolfSSL/wolfssl

  The wolfSSL library is a small, fast, portable implementation of TLS/SSL for embedded devices to the cloud. wolfSSL supports up to TLS 1.3 and DTLS 1.3!

  Language:C2.4k113978833

• myth984/wechat-report

  微信聊天记录年度报告

  Language:Vue1.2k45135

• wyharveychen/CloserLookFewShot

  source code to ICLR'19, 'A Closer Look at Few-shot Classification'

  Language:Python1.1k1974268

• spytensor/prepare_detection_dataset

  convert dataset to coco/voc format

  Language:Python1.1k1422356

• rgeirhos/texture-vs-shape

  Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

  Language:R7931930102

• MorvanZhou/morvanzhou.github.io

  莫烦Python Website source code

  Language:HTML577886217

• rgeirhos/Stylized-ImageNet

  Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)

  Language:Python508131264

• bubbliiiing/classification-pytorch

  这是各个主干网络分类模型的源码，可以用于训练自己的分类模型。

  Language:Python41053681

• Tony607/voc2coco

  How to create custom COCO data set for object detection

  Language:Jupyter Notebook25778131

• fmcarlucci/JigenDG

  Repository for the CVPR19 oral paper "Domain Generalization by Solving Jigsaw Puzzles"

  Language:Python247102044

• bfshi/InfoDrop

  Code for our paper "Informative Dropout for Robust Representation Learning: A Shape-bias Perspective" (ICML 2020)

  Language:Python1251045

• LiYingwei/ShapeTextureDebiasedTraining

  Code and models for the paper Shape-Texture Debiased Neural Network Training (ICLR 2021)

  Language:Python10861110

• PKUAI26/AT-CNN

  Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks

  Language:Python65709

• lifuguan/SOLOv2-mmdet

  This project hosts the code for implementing the SOLOv2 algorithms based on the official project(https://github.com/WXinlong/SOLO). Due to the inheritance designation, it enables developers as well as researchers to integrate into our projects more easily and elegantly.

  Language:Python17141

• jayelm/lsl

  Shaping Visual Representations with Language for Few-shot Classification, ACL 2020

  Language:Python16488

• dialogueeeeee/wolfSSL-research_client-get-web

  Language:C3100