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100-days-of-ml-code

100-Days-Of-ML-Code中文版

3d-point-cloud-analytics

Portfolio for 3D Point Cloud Processing from www.shenlanxueyuan.com China

ai_traffic

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

automl

Google Brain AutoML

awesome-object-detection

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

bestjavaer

这是一个成为更好的Java程序员的系列教程

buptnicementors

北邮研究生导师口碑榜

c-c-

程序员相关电子书资料免费分享，欢迎关注个人微信公众号：程序员编程指南

cocoapi

Clone of COCO API - Dataset @ http://cocodataset.org/ - with changes to support Windows build and python3

code-nav

💎 专业的编程导航，帮你找到优质的编程学习资源！公众号【编程导航】 ☁️ 前后端均开源，励志成为最好的全栈云开发项目！

coder2gwy

互联网首份程序员考公指南，由3位已经进入体制内的前大厂程序员联合献上。

cs-books

🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~

cs229t

Statistical Learning Theory (CS229T) Lecture Notes

cv-backbones

CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60多个国家的400多所大学用于教学。

dataanalysisinaction

(已完结)《极客时间数据分析实战45讲-详细笔记》包含markdown、图片、思维导图、代码 、数据。 可直接阅读代码、测试!

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deep_learning_object_detection

A paper list of object detection using deep learning.

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15个章节，近20万字。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............ 版权所有，违权必究 Tan 2018.06

dive-into-dl-pytorch

本项目将《动手学深度学习》（Dive into Deep Learning）原书中的MXNet代码实现改为PyTorch实现。

do-conv

Depthwise Over-parameterized Convolutional Layer

drl

Deep Reinforcement Learning

easycv

effectivetensorflow

TensorFlow 1.x and 2.x tutorials and best practices.

explainable-cnn

📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

fcos

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

fcos-pytorch

Re-implementation of FCOS for personal study