anhnongdan

anhnongdan's Stars

• SakanaAI/AI-Scientist

  The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

  Language:Jupyter Notebook7.7k1k

• coleam00/ai-agents-masterclass

  Follow along with my AI Agents Masterclass videos! All of the code I create and use in this series on YouTube will be here for you to use and even build on top of!

  Language:Python297123

• assafelovic/gpt-researcher

  LLM based autonomous agent that does online comprehensive research on any given topic

  Language:Python14.2k1.9k

• unit8co/darts

  A python library for user-friendly forecasting and anomaly detection on time series.

  Language:Python8k866

• ycjuan/kaggle-2014-criteo

  Language:C++1.3k625

• joshpxyne/gpt-migrate

  Easily migrate your codebase from one framework or language to another.

  Language:Python6.8k481

• rajucs/Book-For-Programmers

  784214

• deepchecks/deepchecks

  Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

  Language:Python3.6k250

• ml-jku/hopular

  Hopular: Modern Hopfield Networks for Tabular Data

  Language:Python30125

• plotly/dash-sample-apps

  Open-source demos hosted on Dash Gallery

  Language:Jupyter Notebook3.1k3k

• mlflow/mlflow

  Open source platform for the machine learning lifecycle

  Language:Python18.4k4.2k

• resemble-ai/Resemblyzer

  A python package to analyze and compare voices with deep learning

  Language:Python2.7k424

• GokuMohandas/mlops-course

  Learn how to design, develop, deploy and iterate on production-grade ML applications.

  Language:Jupyter Notebook2.9k508

• PacktPublishing/Hands-On-Gradient-Boosting-with-XGBoost-and-Scikit-learn

  Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt

  Language:Jupyter Notebook183143

• kedro-org/kedro

  Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

  Language:Python9.9k893

• khuyentran1401/Data-science

  Collection of useful data science topics along with articles, videos, and code

  Language:Jupyter Notebook4k1k

• matplotlib/mplfinance

  Financial Markets Data Visualization using Matplotlib

  Language:Python3.6k623

• kzh-dev/pine-bot-client

  Trading bot using Pine script

  Language:Python17747

• Chalarangelo/30-seconds-of-code

  Short code snippets for all your development needs

  Language:JavaScript121k12k

• pAulseperformance/awesome-pinescript

  A Comprehensive Collection of Everything Related to Tradingview Pine Script.

  1.1k117

• VivekPa/IntroNeuralNetworks

  Introducing neural networks to predict stock prices

  Language:Python734205

• lancifollia/tinygbt

  A Tiny, Pure Python implementation of Gradient Boosted Trees.

  Language:Python25265

• ethen8181/machine-learning

  :earth_americas: machine learning tutorials (mainly in Python3)

  Language:HTML3.2k649

• ricklamers/gridstudio

  Grid studio is a web-based application for data science with full integration of open source data science frameworks and languages.

  Language:JavaScript8.9k1.5k

• benedekrozemberczki/awesome-gradient-boosting-papers

  A curated list of gradient boosting research papers with implementations.

  Language:Python997155

• alexander-rakhlin/ICIAR2018

  Our solution for ICIAR 2018 Grand Challenge

  Language:Python19271

• uber/manifold

  A model-agnostic visual debugging tool for machine learning

  Language:JavaScript1.6k117

• tiepvupsu/ebookMLCB

  ebook Machine Learning cơ bản

  Language:Jupyter Notebook1.3k351

• jmcarpenter2/swifter

  A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner

  Language:Python2.5k101

• ResidentMario/missingno

  Missing data visualization module for Python.

  Language:Python3.9k518