BlueHeart0621

BlueHeart0621's Stars

• TrustAGI-Lab/Awesome-Graph-Neural-Networks

  Paper Lists for Graph Neural Networks

  2.2k383

• goodfeli/adversarial

  Code and hyperparameters for the paper "Generative Adversarial Networks"

  Language:Python3.8k1.1k

• vitejs/vite

  Next generation frontend tooling. It's fast!

  Language:TypeScript66.3k5.9k

• brianfrankcooper/YCSB

  Yahoo! Cloud Serving Benchmark

  Language:Java4.9k2.2k

• intel/backport-iwlwifi

  Language:C5326

• matejak/argbash

  Bash argument parsing code generator

  Language:M41.4k62

• rime/plum

  東風破 /plum/: Rime configuration manager and input schema repository

  Language:Shell1.3k122

• 1adrianb/pytorch-estimate-flops

  Estimate/count FLOPS for a given neural network using pytorch

  Language:Python30223

• RenYang-home/HLVC

  Language:Python12618

• tqdm/tqdm

  :zap: A Fast, Extensible Progress Bar for Python and CLI

  Language:Python28k1.3k

• jnwatson/py-lmdb

  Universal Python binding for the LMDB 'Lightning' Database

  Language:C626102

• lightonai/double-descent-curve

  Double Descent Curve with Optical Random Features

  Language:Jupyter Notebook276

• tarokuni/DoubleDescent

  Visualization of the Double Descent phenomenon in Deep Learning

  Language:Jupyter Notebook1

• KellyHwong/rethinking_generalization

  UNDERSTANDING DEEP LEARNING REQUIRES RETHINKING GENERALIZATION

  Language:Jupyter Notebook1

• rharish101/DLGeneralization

  My project to recreate the results in "Understanding Deep Learning Requires Rethinking Generalization"

  Language:Python67

• pluskid/fitting-random-labels

  Example code for the paper "Understanding deep learning requires rethinking generalization"

  Language:Python17754

• rohinb3516/DeepDoubleDescent_Tensorflow

  Project to reimplement and extend the baseline results found in the paper: Deep Double Descent: Where Bigger Models and More Data Hurt (https://arxiv.org/pdf/1611.03530.pdf)

  Language:Jupyter Notebook1

• cgohlke/imagecodecs

  Image transformation, compression, and decompression codecs

  Language:Cython11121

• dwgoon/jpegio

  A python package for accessing the internal variables of JPEG file format such as DCT coefficients and quantization tables

  Language:C7318

• ianare/exif-py

  Easy to use Python module to extract Exif metadata from digital image files.

  Language:Python822193

• fangwei123456/python-jpeg-encoder

  create a standardized JPEG file

  Language:Python4411

• HossamAmer12/jpeg_customised_huffman

  JPEG codec with customized Huffman table generation

  Language:C++11

• BYchao100/Scalable-Near-lossless-Image-Compression

  Source code of CVPR 2021 paper "Learning Scalable ℓ∞-constrained Near-lossless Image Compression via Joint Lossy Image and Residual Compression".

  Language:Python397

• blaisewang/img2latex-mathpix

  Mathpix has changed their billing policy and no longer has free monthly API requests. This repo is now archived and will not receive any updates for the foreseeable future.

  Language:Java1.4k206

• Mzzopublic/C

  C语言

  Language:C3.6k1.6k

• haimengzhao/CAE-ADMM

  CAE-ADMM: Implicit Bitrate Optimization via ADMM-Based Pruning in Compressive Autoencoders

  Language:Python469

• tmux-plugins/tmux-resurrect

  Persists tmux environment across system restarts.

  Language:Shell11k411

• aria2/aria2

  aria2 is a lightweight multi-protocol & multi-source, cross platform download utility operated in command-line. It supports HTTP/HTTPS, FTP, SFTP, BitTorrent and Metalink.

  Language:C++34.3k3.5k

• scutan90/DeepLearning-500-questions

  深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  Language:JavaScript53.9k15.8k

• ventoy/Ventoy

  A new bootable USB solution.

  Language:C60.7k4k