The Python ensemble sampling toolkit for affine-invariant MCMC
- python
- mcmc
- mcmc-sampler
- probabilistic-data-analysis
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The Python ensemble sampling toolkit for affine-invariant MCMC
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
This repository will be used to develop a rain generator, actually it use white noises to simulate wind and have an integrated thunderstorm simulator.
What's in your data? Extract schema, statistics and entities from datasets
An implementation of figlet written in Python
A tool for quickly evaluating IAM permissions in AWS.
The bidirectional mapping library for Python.
open-source feature selection repository in python
Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating, welcome any issue and PR request)
Biological foundation modeling from molecular to genome scale
Source-available agent platform for Global × China enterprises — wire every system through one agent core. Self-hosted, any LLM.
Automated Integration Testing and Live Documentation for your API
A flexible forms validation and rendering library for Python.
Python Streaming DataFrames for Kafka
Declarative User Interfaces for Python
Spearmint Bayesian optimization codebase
🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)
A 100-day challenge exploring IoT and embedded systems using ESP32, ESP8266, and Raspberry Pi Pico with MicroPython. Each day covers a new sensor or module with complete code, circuit diagram, and explanation.
Creates standalone executables from Python scripts with the same performance as the original script. It is cross-platform and should work on any platform that Python runs on.
Ansible playbooks for deploying OpenStack. Mirror of code maintained at opendev.org.
Unknown Horizons official code repository
Flexible test automation for Python
A php2shell exploit that requires no modifications to the official version, and does not require display_errors or limit_memory.
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.