Python Toolkit for Causal and Probabilistic Reasoning
- python
- bayesian-networks
- causal-inference
- causal-discovery
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Python Toolkit for Causal and Probabilistic Reasoning
Pythonic bindings for FFmpeg's libraries.
CLI for SQLite Databases with auto-completion and syntax highlighting
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Stop configuring your AI stack. Start using it. One command brings a complete pre-wired LLM stack with hundreds of services to explore.
NumPy and Pandas interface to Big Data
Source code for Gramps Genealogical program
Visualize and compare datasets, target values and associations, with one line of code.
TensorFlow (Python API) implementation of Neural Style
🦀 Jumper — an crab robot.
A Simple and Versatile Framework for Object Detection and Instance Recognition
15 motion design styles, each made by Claude Opus 5.5 writing code from one prompt: watch the films, copy the prompts, read the full source.
A fast yet powerful Python Markdown parser with renderers and plugins, fully CommonMark compliant.
Simplifies writing DocBlock comments in Javascript, PHP, CoffeeScript, Actionscript, C & C++
Automatically mock your HTTP interactions to simplify and speed up testing
README file generator, powered by AI.
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
SSH server auditing (banner, key exchange, encryption, mac, compression, compatibility, security, etc)
A generic, spec-compliant, thorough implementation of the OAuth request-signing logic
Python disk-backed cache (Django-compatible). Faster than Redis and Memcached. Pure-Python.
My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data from any environment, using datasources and alerting logic you define.
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)