Pinned Repositories
2018_Analysys_2nd_Algorithm_Competition
2018第二届易观算法大赛
AlgorithmTraining
用于存放算法的练习相关
baai-zhihu-cup-2019
智源 - 看山杯 专家发现算法大赛 baseline 0.7
beijing_house_knowledge
北京买房攻略
code_template
常用代码模板
Data-Competition-TopSolution
Data competition Top Solution 数据竞赛top解决方案开源整理
g55-numpy-100
来自于rougier的numpy-100仓库 只不过是我自己实现了答案并添加了中文注释
ijcai_2018
ijcai top8
MachineLearningInAction
used for coding for machine learning in action
wxmp_ai_draw
微信ai画图小程序
SS4G's Repositories
SS4G/wxmp_ai_draw
微信ai画图小程序
SS4G/g55-numpy-100
来自于rougier的numpy-100仓库 只不过是我自己实现了答案并添加了中文注释
SS4G/MAX7219_wiringPi_Raspberry-Pi
max7219 点阵驱动程序
SS4G/TM1637_wiringPi_Raspberry-Pi
树莓派 4B TM1637 4位数码管模块 显示程序
SS4G/AlgorithmTraining
用于存放算法的练习相关
SS4G/attention-is-all-you-need-pytorch
添加了本人阅读注释的 attntion_is_all_you_need pytorch实现
SS4G/beauty-of-design-pattern
极客时间设计模式之美
SS4G/ChatGPT-Next-Web
One-Click to deploy well-designed ChatGPT web UI on Vercel. 一键拥有你自己的 ChatGPT 网页服务。
SS4G/cpp_projs
SS4G/CppGuide
C/C++学习，后端开发进阶指南。
SS4G/docker_proj
SS4G/file_reverse
SS4G/flash-attention
Fast and memory-efficient exact attention
SS4G/frontend_demo
前端demo
SS4G/golang_review
golang_review
SS4G/hertz_web_demo
字节httpweb框架 hertz 网站demo
SS4G/JP2020
你懂得
SS4G/Megatron-LM
Ongoing research training transformer models at scale
SS4G/my_cuda_example
cuda 学习的一些样例
SS4G/Paddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
SS4G/paper_read
SS4G/regular-investing-in-box
定投改变命运 —— 让时间陪你慢慢变富 https://onregularinvesting.com
SS4G/ss4g_chatroom
golang 多人聊天室
SS4G/ss4g_web_framework
SS4G/static_fileserver
serve static_file
SS4G/tax_calculate
计算个税的小脚本
SS4G/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
SS4G/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
SS4G/web_proj1st
初步学习web前端相关的内容
SS4G/xlearn
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.