jupyter-notebook

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.

The Go kernel for Jupyter notebooks and nteract.

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可

Jupyter notebooks from the scikit-learn video series

🛠 All-in-one web-based IDE specialized for machine learning and data science.

:earth_americas: machine learning tutorials (mainly in Python3)

Debugging, monitoring and visualization for Python Machine Learning and Data Science

邱锡鹏《神经网络与深度学习：案例与实践》PyTorch 实现

免费学代码系列：小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:

Jupyter Notebooks to help you get hands-on with Pinecone vector databases

A computer vision closed-loop learning platform where code can be run interactively online. 学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页

Interactive Go programming with Jupyter

Python & JS/TS SDK for running AI-generated code/code interpreting in your AI app

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.

This repository helps you learn Python and Machine Learning from scratch.

nannyml: post-deployment data science in python

Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.