Stars
Simple example for a usage of the PCL Point Cloud Library and Three.js. An easy console interface was programmed for first insights to the PCL Point Cloud Library. It is possible to safe a point cl…
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
Bayesian Additive Regression Trees For Python
Foldseek enables fast and sensitive comparisons of large structure sets.
A simple python package to solve all your problems with pythonpath, work dir, file paths, module imports and environment variables.
A python wrapper for the GitLab API.
GitPython is a python library used to interact with Git repositories.
Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
A game theoretic approach to explain the output of any machine learning model.
Fit interpretable models. Explain blackbox machine learning.
A Python implementation of global optimization with gaussian processes.
Generic library for the implementation of Markov Chain Monte Carlo simulations.
🤖 A Python library for learning and evaluating knowledge graph embeddings
🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
A cookiecutter for a Python project with lots of configuration options
A simple PyTorch + PyTorch Lightning training pipeline for Leela Zero
All Algorithms implemented in Python
A lightweight Release-tracking repository for nlohmann/json. Suitable for CMake fetchcontent. Automatically upgraded every weeks.
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
Python library for the evaluation of simulation data. The library provides functionalities to load simulation results into Python, to perform standard evaluation algorithms for Markov Chain Monte C…
Deep learning with spiking neural networks (SNNs) in PyTorch.
Easy evaluation and plotting of statistical data and high-dimensional distributions in python - Fast generation, loading and storing of custom datasets.
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.