Repository Index

Tensors and Dynamic neural networks in Python with strong GPU acceleration

• neural-network
• autograd
• gpu
• numpy

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

• deep-learning
• book
• notebook
• natural-language-processing

scikit-learn: machine learning in Python

• machine-learning
• python
• statistics
• data-science

Deep Learning for humans

• deep-learning
• tensorflow
• neural-networks
• machine-learning

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

• batch-processing
• kafka
• pathway
• python

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

• airflow
• apache
• apache-airflow
• python

Streamlit — A faster way to build and share data apps.

• python
• machine-learning
• data-science
• deep-learning

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

• ray
• distributed
• parallel
• machine-learning

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

• machine-learning
• models
• ui
• ui-components

💫 Industrial-strength Natural Language Processing (NLP) in Python

• natural-language-processing
• data-science
• machine-learning
• python

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

• machine-learning
• deep-learning
• deep-reinforcement-learning
• machine-learning-from-scratch

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

• python
• deep-learning
• artificial-intelligence
• ai

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

• deep-learning
• machine-learning
• book
• notebook

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

• python
• machine-learning
• deep-learning
• data-science

A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.

• notebooks
• python
• data-science
• machine-learning

100-Days-Of-ML-Code中文版

• machine-learning
• python
• 100-days-of-ml-code
• chinese-simplified

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

• nlp
• datasets
• pytorch
• tensorflow

Best Practices on Recommendation Systems

• machine-learning
• recommender
• ranking
• deep-learning

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

• quant
• trade
• machine-learning
• bitcoin

pix2tex: Using a ViT to convert images of equations into LaTeX code.

• machine-learning
• transformer
• im2latex
• deep-learning

Topic Modelling for Humans

• gensim
• topic-modeling
• information-retrieval
• machine-learning

🦉 Data Versioning and ML Experiments

• data-science
• machine-learning
• reproducibility
• data-version-control

Convert Machine Learning Code Between Frameworks

• python
• tensorflow
• pytorch
• numpy

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

• pandas-profiling
• pandas-dataframe
• statistics
• jupyter-notebook