cjn-chen Goto Github PK
Name: Jiannan Chen
Type: User
Location: HIT Campus of University Town of Shenzhen, Shenzhen, China
Name: Jiannan Chen
Type: User
Location: HIT Campus of University Town of Shenzhen, Shenzhen, China
LeetCode题解,151道题完整版。广告:推荐刷题网站 https://www.lintcode.com/?utm_source=soulmachine
从吴师兄算法中备份其github 仓库 `https://github.com/MisterBooo/LeetCodeAnimation`
Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)
关于算法、机器学习的一些读书笔记,思维导图
Merlion: A Machine Learning Framework for Time Series Intelligence
Metric learning algorithms in Python
MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models
The Numenta Anomaly Benchmark
This is an extension of NeuTraj, which accelerates the similarity computation of time series by neural metric learning
NLP超强入门指南,包括各任务sota模型汇总(文本分类、文本匹配、序列标注、文本生成、语言模型),以及代码、技巧
一个关于python的numpy包和pandas包的应用的思维导图。
深度学习经典、新论文逐段精读
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
A template for a Python project.
C++ Implementation of PyTorch Tutorials for Everyone
PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
A template of pytorch which can be used to train your model.
qstock由“Python金融量化”公众号开发,试图打造成个人量化投研分析包,目前包括数据获取(data)、可视化(plot)、选股(stock)和量化回测(策略backtest)模块。 qstock将为用户提供简洁的数据接口和规整化后的金融市场数据。可视化模块为用户提供基于web的交互图形的简单接口; 选股模块提供了同花顺的选股数据和自定义选股,包括RPS、MM趋势、财务指标、资金流模型等; 回测模块为大家提供向量化(基于pandas)和基于事件驱动的基本框架和模型。 关注“Python金融量化“微信公众号,获取更多应用信息。
Data repository for seaborn examples
sharpe is a unified, interactive, general-purpose environment for backtesting or applying machine learning(supervised learning and reinforcement learning) in the context of quantitative trading
中文垃圾短信识别(手写分类器)
Temporal Alignment Prediction for Supervised Representation Learning and Few-Shot Sequence Classification
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.
Automatic extraction of relevant features from time series:
A playbook for systematically maximizing the performance of deep learning models.
计算波动率的六种方法,计算隐含波动率,凤凰期权的定价,编制基于50ETF期权的VIX指数
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.