uammy

uammy's Stars

• papers-we-love/papers-we-love

  Papers from the computer science community to read and discuss.

  Language:Shell90k3.1k2435.8k

• gin-gonic/gin

  Gin is a HTTP web framework written in Go (Golang). It features a Martini-like API with much better performance -- up to 40 times faster. If you need smashing performance, get yourself some Gin.

  Language:Go79.8k1.4k2.3k8.1k

• kenjihiranabe/The-Art-of-Linear-Algebra

  Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"

  Language:PostScript18.3k148142.2k

• chenzomi12/AISystem

  AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术

  Language:Jupyter Notebook11.9k155421.7k

• maemual/raft-zh_cn

  Raft一致性算法论文的中文翻译

  6.2k159381.7k

• timeseriesAI/tsai

  Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

  Language:Jupyter Notebook5.4k66663666

• biolab/orange3

  🍊 :bar_chart: :bulb: Orange: Interactive data analysis

  Language:Python4.9k1892.4k1k

• kf-liu/The-Art-of-Linear-Algebra-zh-CN

  Graphic notes on Gilbert Strang's "Linear Algebra for Everyone", 线性代数的艺术中文版, 欢迎PR.

  Language:PostScript4.6k430457

• AllenDowney/ThinkDSP

  Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

  Language:Jupyter Notebook4k235573.3k

• divamgupta/image-segmentation-keras

  Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

  Language:Python2.9k613471.2k

• Alro10/deep-learning-time-series

  List of papers, code and experiments using deep learning for time series forecasting

  Language:Jupyter Notebook2.6k817529

• WassimTenachi/PhySO

  Physical Symbolic Optimization

  Language:Python1.9k3950258

• WXinlong/SOLO

  SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.

  Language:Python1.7k32239307

• willemt/raft

  C implementation of the Raft Consensus protocol, BSD licensed

  Language:C1.1k7154273

• luyanger1799/Amazing-Semantic-Segmentation

  Amazing Semantic Segmentation on Tensorflow && Keras (include FCN, UNet, SegNet, PSPNet, PAN, RefineNet, DeepLabV3, DeepLabV3+, DenseASPP, BiSegNet)

  Language:Python470100149

• JusperLee/Conv-TasNet

  Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation Pytorch's Implement

  Language:Python44665777

• BBuf/Keras-Semantic-Segmentation

  Keras-Semantic-Segmentation

  Language:Python3361126101

• NVlabs/FreeSOLO

  FreeSOLO for unsupervised instance segmentation, CVPR 2022

  Language:Python31541732

• broadinstitute/keras-resnet

  Keras package for deep residual networks

  Language:Python3001041126

• Golbstein/Keras-segmentation-deeplab-v3.1

  An awesome semantic segmentation model that runs in real time

  Language:Jupyter Notebook17562271

• gamedilong/SoftwareArchitect-CN

  软件架构师之路

  1745145

• lsh1994/keras-segmentation

  Get started with Semantic Segmentation based on Keras, including FCN32/FCN8/SegNet/U-Net

  Language:Python16682055

• vision9527/paxos

  paxos for studying

  Language:Go942026

• feiyanke/thinkdsp-cn

  《ThinkDSP》 中文翻译，http://thinkdsp-cn.readthedocs.io/zh_CN/latest/

  Language:HTML774329

• 66my/-PhySO-

  这是物理学公式拟合工具 PhySO（Φ-SO）库的中文注释项目，帮助需要快速入门此工具的**科研人员初步熟悉该工具的使用

  Language:Jupyter Notebook60128

• QiaoXiao7282/DSN

  [NeurIPS 22'] Dynamic Sparse Network for Time Series Classification: Learning What to “See”

  Language:Python23236

• DarLiner/awesome-design-patterns

  优秀软件与架构设计模式资源收集。包含10种常见的软件架构模式、GoF设计模式、云架构模式、微服务和分布式系统、大数据、数据库等

  225010

• yujiacheng333/Conv_TasNet

  Conv TaSNet follow work of KaiTuo Xu in TF-keras

  Language:Python14203

• RayGle0628/GoCode-Go-

  现今，多核CPU已经成为服务器的标配。但是对多核的运算能力挖掘一直由程序员人工设计算法及框架来完成。这个过程需要开发人员具有一定的并发设计及框架设计能力。虽然一些编程语言的框架在不断地提高多核资源使用效率，如Java的Netty等，但仍然需要开发人员花费大量的时间和精力搞懂这些框架的运行原理后才能熟练掌握。 　　Go语言在多核并发上拥有原生的设计优势。Go语言从2009年11月开源，2012年发布Go 1.0稳定版本以来，已经拥有活跃的社区和全球众多开发者，并且与苹果公司的Swift一样，成为当前非常流行的开发语言之一。很多公司，特别是**的互联网公司，即将或者已经完成了使用Go语言改造旧系统的过程。经过Go语言重构的系统能使用更少的硬件资源而有更高的并发和I/O吞吐表现。 　　Go语言简单易学，学习曲线平缓，不需要像C/C++语言动辄需要两到三年的学习期。Go语言被称为“互联网时代的C语言”。互联网的短、频、快特性在Go语言中体现得淋漓尽致。一个熟练的开发者只需要短短的一周时间就可以从学习阶段转到开发阶段，并完成一个高并发的服务器开发。 　　面对Go语言的普及和学习热潮，这份代码介绍了GO语言从基础的语法知识到并发和接口等新特性知识。

  Language:Go6202

• Rossil2012/simulRaft

  A Stand-alone Simulation of RAFT Cluster with Qt

  Language:C++6200