Repository Index

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

• tensorflow
• machine-learning
• regression
• convolutional-neural-networks

Genetic Programming in Python, with a scikit-learn inspired API

• genetic-programming
• machine-learning
• python
• scikit-learn

Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

• diffusion-models
• docking
• binding
• computational-biology

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

• forecasting
• scikit-learn
• machine-learning
• python

Train and Deploy an ML REST API to predict crypto prices, in 10 steps

• deployment
• ml
• mlops
• crypto

The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.

• pipeline
• pipeline-framework
• machine-learning
• deep-learning

SolarRenderer: Few-Step Generative Reference Rendering

[Tech Report] Simplifying and Improving On-Policy Distillation for Few-step Diffusion

• diffusion
• distillation
• few-step-generation

用代码逐帧做视频：HTML / Canvas 动画 → MP4 / GIF / 透明层 · Deterministic HTML-to-MP4 renderer: seek to t, screenshot, encode. No framework, no build step, no GPU.

• agent-skill
• animation
• canvas
• ffmpeg

Free, open-source, local alternative to ElevenLabs and Suno. AI sound effects, music with lyrics, text-to-speech and voice cloning on your own GPU (Stable Audio, ACE-Step and more). No account, no credits, offline. Windows/macOS app, HTTP API and a 21-tool MCP server for Claude Code and Cursor.

• local-ai
• mcp
• music-generation
• sound-effects

Build and deploy a serverless data pipeline on AWS with no effort.

• aws-cdk
• data-pipeline
• stepfunctions
• glue

HistoClean is a tool for the preprocessing and augmentation of images used in deep learning models. This easy to use application brings together the most popular image processing packages from across the python universe, meaning no more looking at documentation! HistoClean provides real time feedback to augmentations and preprocessing options. This allows users to evaluate their steps before implementation.

• image-processing
• images
• image-analysis
• deep-learning