justchenhao

books

【编程随想】收藏的电子书清单（多个学科，含下载链接）

awesome-cs-books

🔥 经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

siyuan

A privacy-first, self-hosted, fully open source personal knowledge management software, written in typescript and golang.

automa

A browser extension for automating your browser by connecting blocks

vision_transformer

chatgpt-demo

Minimal web UI for ChatGPT.

Chinese-STD-GB-T-7714-related-csl

GB/T 7714相关的csl以及Zotero使用技巧及教程。

pytorch-OpCounter

Count the MACs / FLOPs of your PyTorch model.

SiamMask

[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach

chatgpt

演示站现在可以免费使用ChatGPT对话和画图了。全网最易部署，响应速度最快的ChatGPT环境。PHP版调用OpenAI接口进行问答和画图，采用Stream流模式通信，一边生成一边输出。前端采用EventSource，支持Markdown格式解析，支持公式显示，代码有着色处理，支持画图。页面UI简洁，支持上下文连续会话。源码只有几个文件，没用任何框架，支持所有PHP版本，全部开源，极易二开。保姆级教程，账号等周边资源，欢迎进群交流，一切全免费。

flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

rebiber

A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

awesome-implicit-representations

A curated list of resources on implicit neural representations.

graphics-workshop

Learn computer graphics by writing GPU shaders!

awesome-research

:seedling: a curated list of tools to help you with your research/life; I built a front end around this repo, please use the link below [This repo is Not Maintained Anymore]

awesome-phd-advice

Collection of advice for prospective and current PhD students

torchstat

Model analyzer in PyTorch

calculate-flops.pytorch

The calflops is designed to calculate FLOPs、MACs and Parameters in all various neural networks, such as Linear、 CNN、 RNN、 GCN、Transformer(Bert、LlaMA etc Large Language Model)

deep-learning-dynamics-paper-list

This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success of deep learning attributes to both network architecture and stochastic optimization. Thus, deep learning dynamics play an essentially important role in theoretical foundation of deep learning.

onearth

High-performance web services for tiled raster imagery and vector tiles

adaptive-inertia-adai

[ICML 2022, Oral] The PyTorch Implementation of Adaptive Inertia Methods. The algorithms are based on our paper: "Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum".

FengWu

henan-rescue-viz-website

河南暴雨求助微博的地图可视化项目

stable-weight-decay-regularization

[NeurIPS 2023] The PyTorch Implementation of Scheduled (Stable) Weight Decay.

artificial-neural-variability-for-deep-learning

[Neural Computation, MIT Press] The PyTorch Implementation of Variable Optimizers/ Neural Variable Risk Minimization proposed in our Neural Computation paper: Artificial Neural Variability for Deep Learning: On overfitting, Noise Memorization, and Catastrophic Forgetting.

Sat2Density

The official implementation of the paper: Sat2Density: Faithful Density Learning from Satellite-Ground Image Pairs (ICCV 2023)

FunSR

Official Implement of the Paper "Continuous Remote Sensing Image Super-Resolution based on Context Interaction in Implicit Function Space"

Positive-Negative-Momentum

[ICML 2021] The official PyTorch Implementations of Positive-Negative Momentum Optimizers.

deepvats

Deep Visual Analytics for Time Series

WindVChen.github.io