centurylee

centurylee's Stars

• datawhalechina/leedl-tutorial

  《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

  Language:Jupyter Notebook13.6k2.9k

• iptv-org/iptv

  Collection of publicly available IPTV channels from all over the world

  Language:JavaScript85.9k2.6k

• iamadamdev/bypass-paywalls-chrome

  Bypass Paywalls web browser extension for Chrome and Firefox.

  Language:JavaScript48.4k3.5k

• gicait/PyAEZ

  PyAEZ is a python package consisted of many algorithms related to Agro-ecalogical zoning (AEZ) framework.

  Language:Jupyter Notebook8556

• Sinaptik-AI/pandas-ai

  Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.

  Language:Python13.1k1.3k

• jianchang512/ChatTTS-ui

  一个简单的本地网页界面，使用ChatTTS将文字合成为语音，同时支持对外提供API接口。A simple native web interface that uses ChatTTS to synthesize text into speech, along with support for external API interfaces.

  Language:Python6.1k711

• openai/whisper

  Robust Speech Recognition via Large-Scale Weak Supervision

  Language:Python70.4k8.3k

• krahets/hello-algo

  《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing

  Language:Java97.8k12.4k

• LokerL/tts-vue

  🎤 微软语音合成工具，使用 Electron + Vue + ElementPlus + Vite 构建。

  Language:TypeScript5.8k832

• THUDM/ChatGLM2-6B

  ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型

  Language:Python15.7k1.8k

• practical-tutorials/project-based-learning

  Curated list of project-based tutorials

  202k26.4k

• binary-husky/gpt_academic

  为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

  Language:Python65.2k8k

• CIAT-DAPA/dapa-climate-change

  Automatically exported from code.google.com/p/dapa-climate-change

  Language:R1413

• anaguilarar/gee_satellite_data

  Language:Jupyter Notebook27

• Kizito16/SMARTFARMER

  SMARTFARMER aims to develop and make available a digital information service that provides farmers in western Kenya - including smallholders - with information that helps them to make improved farm management decisions during the growing season. SMARTFARMER project will further develop our agro advisory service by integrating satellite imagery with weather data, soil data and farm management information through the WOFOST crop model to provide farmers with practical advice and recommendations exactly when they need it. This information will be used to make comprehensible, farm and crop specific recommendations for farmer practices, which will be disseminated to the farmers via SMS.

  Language:Jupyter Notebook62

• agrimetrics/api-examples

  Repository of sample scripts with which one consumes data from Agrimetrics' Data Platform

  Language:Jupyter Notebook135

• HumanSignal/label-studio

  Label Studio is a multi-type data labeling and annotation tool with standardized output format

  Language:JavaScript19k2.4k

• giswqs/earthengine-py-notebooks

  A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

  Language:Jupyter Notebook1.4k406

• giswqs/geebook

  Earth Engine and Geemap: Geospatial Data Science with Python

  Language:Jupyter Notebook18050

• lorey/mlscraper

  🤖 Scrape data from HTML websites automatically by just providing examples

  Language:Python1.3k89

• ColCarroll/minimc

  Just a little MCMC

  Language:Python21528

• thunil/Physics-Based-Deep-Learning

  Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

  1.7k303

• greppo-io/greppo

  Build & deploy geospatial applications quick and easy.

  Language:Python38834

• Priesemann-Group/covid_bayesian_mcmc

  Bayesian Markov Chain Monte Carlo Forecast for COVID-19

  Language:Jupyter Notebook4010

• ermongroup/a-nice-mc

  Code for "A-NICE-MC: Adversarial Training for MCMC"

  Language:Jupyter Notebook12628

• fonnesbeck/mcmc_pydata_london_2019

  PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3

  Language:Jupyter Notebook15598

• mli/paper-reading

  深度学习经典、新论文逐段精读

  26.9k2.4k

• SmirkCao/MLiA

  Machine Learning in Action [Peter Harrington] 机器学习实战, Python3

  Language:Jupyter Notebook2924

• SmirkCao/Lihang

  Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

  Language:Python6k1.6k

• PecanProject/pecan

  The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.

  Language:R203235