Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
- audio
- machine-learning
- signal-processing
- audio-data
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Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
🌊 Online machine learning in Python
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
🔧 pyinfra turns Python code into shell commands and runs them on your servers. Execute ad-hoc commands and write declarative operations. Target SSH servers, local machine and Docker containers. Fast and scales from one server to thousands.
Uplift modeling and causal inference with machine learning algorithms
A system for quickly generating training data with weak supervision
common data analysis and machine learning tasks using python
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
Fawkes, privacy preserving tool against facial recognition systems. More info at https://sandlab.cs.uchicago.edu/fawkes
Deep Reinforcement Learning for Keras.
Asynchronous Python framework for event-driven services. A thin client for Kafka, RabbitMQ, NATS, Redis and MQTT with full access to native broker features, plus AsyncAPI docs, in-memory tests and observability out of the box.
TranslatedChinese characters to pinyin converter (pypinyin)
NVIDIA cuML: GPU-Accelerated Machine Learning
11 Claude skills for day trading: scan thousands of charts, track breaking news, time every entry and exit, and replay every outcome before you risk a dollar.
A tool used to obfuscate python scripts, bind obfuscated scripts to fixed machine or expire obfuscated scripts.
A library of extension and helper modules for Python's data analysis and machine learning libraries.
Image augmentation library in Python for machine learning.
A Python implementation of LightFM, a hybrid recommendation algorithm.
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
Lightning ⚡️ fast forecasting with statistical and econometric models.
Thirteen Claude skills that run an Instagram account: Reels off 26 scored hook formulas, a viral research skill, a caption linter, and a humanizer. Free, MIT.
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Eleven Claude skills that run a YouTube channel: scripts off 21 hook formulas with a scored hook, title and thumbnail linted as one pairing, an edit decision list from your transcript, a retention reader that finds where viewers actually leave, a Shorts cutter, and a virality engine. Free, MIT.
Local video editor for coding agents: 42 FFmpeg tools with a machine-readable contract and an MCP server, for Claude Code, Cursor and Codex. Cut, captions, reframe, loudness, platform exports. No cloud, no API keys.