pengyuange

pengyuange's Stars

• Anduin2017/HowToCook

  程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).

  Language:Dockerfile66.1k4006618.7k

• formulahendry/955.WLB

  955 不加班的公司名单 - 工作 955，work–life balance (工作与生活的平衡)

  34.6k7192601.7k

• geekcompany/ResumeSample

  Resume template for Chinese programmers . 程序员简历模板系列。包括PHP程序员简历模板、iOS程序员简历模板、Android程序员简历模板、Web前端程序员简历模板、Java程序员简历模板、C/C++程序员简历模板、NodeJS程序员简历模板、架构师简历模板以及通用程序员简历模板

  27.1k1k09k

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python19.4k1462612.9k

• haoel/leetcode

  LeetCode Problems' Solutions

  Language:C++17.6k986604.9k

• NanmiCoder/MediaCrawler

  小红书笔记 | 评论爬虫、抖音视频 | 评论爬虫、快手视频 | 评论爬虫、B 站视频 ｜ 评论爬虫、微博帖子 ｜ 评论爬虫、百度贴吧帖子 ｜ 百度贴吧评论回复爬虫

  Language:Python16.1k992685.2k

• NLP-LOVE/ML-NLP

  此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

  Language:Jupyter Notebook15.6k383394.5k

• nusr/hacker-laws-zh

  💻📖对开发人员有用的定律、理论、原则和模式。(Laws, Theories, Principles and Patterns that developers will find useful.)

  12.5k361131k

• itcharge/LeetCode-Py

  ⛽️「算法通关手册」：超详细的「算法与数据结构」基础讲解教程，从零基础开始学习算法知识，850+ 道「LeetCode 题目」详细解析，200 道「大厂面试热门题目」。

  Language:Python5.6k39161k

• eliaszon/Programmers-Overseas-Job-Interview-Handbook

  🏂🏻 程序员海外工作/英文面试手册

  4.3k613302

• PaddlePaddle/PaddleRec

  Recommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM，DSIN，SIGN，IPREC、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESMM、ESCMM, MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、DMR、GateNet、NAML、DIFM、Deep Crossing、PNN、BST、AutoInt、FGCNN、FLEN、Fibinet、ListWise、DeepRec、ENSFM，TiSAS，AutoFIS等，包含经典推荐系统数据集criteo 、movielens等

  Language:Python4.2k193217721

• jdb78/pytorch-forecasting

  Time series forecasting with PyTorch

  Language:Python3.8k41759608

• LLM-Red-Team/kimi-free-api

  🚀 KIMI AI 长文本大模型逆向API白嫖测试【特长：长文本解读整理】，支持高速流式输出、智能体对话、联网搜索、长文档解读、图像OCR、多轮对话，零配置部署，多路token支持，自动清理会话痕迹。

  Language:TypeScript3.6k31111573

• lcylmhlcy/Awesome-algorithm-interview

  算法工程师(人工智能CV方向)面试问题及相关资料

  2.5k330431

• CoinCheung/pytorch-loss

  label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

  Language:Python2.2k2338373

• Tony-Tan/CUDA_Freshman

  Language:Cuda2.1k1014422

• PaddlePaddle/Research

  novel deep learning research works with PaddlePaddle

  Language:Python1.7k48150793

• 4paradigm/OpenMLDB

  OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.

  Language:C++1.6k421.7k317

• AberHu/Knowledge-Distillation-Zoo

  Pytorch implementation of various Knowledge Distillation (KD) methods.

  Language:Python1.6k2317264

• Rgveda/996Quant

  35岁程序员退路之量化投资学习笔记

  Language:Jupyter Notebook1.1k561170

• mouna99/dien

  Language:Python1.1k4156400

• 4paradigm/AutoX

  AutoX is an efficient automl tool, which is mainly aimed at data mining tasks with tabular data.

  Language:Jupyter Notebook4981344132

• stepankonev/waymo-motion-prediction-challenge-2022-multipath-plus-plus

  Solution for Waymo Motion Prediction Challenge 2022. Our implementation of MultiPath++

  Language:Python36573174

• DQSSSSS/VectorNet

  VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation, partial function re-implement

  Language:Python2326545

• OpenBMB/ModelCenter

  Efficient, Low-Resource, Distributed transformer implementation based on BMTrain

  Language:Python23071928

• HaziqRazali/Pedestrian-Intention-Prediction

  Language:Python271313

• lansinuote/Train_LLM_write_SQL

  Language:Jupyter Notebook194

• shexuan/EGES-Torch

  Implement EGES by pytorch.

  Language:Jupyter Notebook185

• Wonz5130/LeetCode-Solutions

  :green_heart:My own LeetCode solutions

  Language:Python15205

• GustavoAlcaraz/Feature-Engineering---Discretisation

  Discretisation is the process of transforming continuous variables into discrete variables by creating a set of contiguous intervals that span the range of the variable's values. Discretisation is also called binning, where bin is an alternative name for interval.

  Language:Jupyter Notebook2