Repository Index

Deep Learning for humans

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

We write your reusable computer vision tools. 💜

• computer-vision
• image-processing
• python
• yolo

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

• airflow
• apache
• apache-airflow
• python

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

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

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

• machine-learning
• ai
• ml
• mlflow

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

Open standard for machine learning interoperability

• deep-learning
• deep-neural-networks
• neural-network
• onnx

机器学习相关教程

• machine-learning
• neural-network
• tensorflow
• python

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

• machine-learning
• experiment-track
• deep-learning
• keras

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.

• kedro
• hacktoberfest
• mlops
• python

Build, Manage and Deploy AI/ML Systems

• machine-learning
• model-management
• ai
• ml

TensorFlow-based neural network library

• machine-learning
• artificial-intelligence
• neural-networks
• deep-learning

Deep learning library featuring a higher-level API for TensorFlow.

• tflearn
• tensorflow
• neural-network
• deep-learning

AutoML library for deep learning

• automl
• neural-architecture-search
• automated-machine-learning
• python

Largest list of models for Core ML (for iOS 11+)

• coreml
• coreml-model
• apple
• machine-learning

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

• python
• ai
• data-science
• data-visualization

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

• tensorflow
• deep-learning
• reinforcement-learning
• neural-networks

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

• tensorflow
• graph
• darknet
• deep-learning

ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.

• mlops
• machine-learning
• data-science
• production-ready

Deep Reinforcement Learning for Keras.

• keras
• tensorflow
• theano
• reinforcement-learning