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TranslatedClaude Guardian is an all-in-one Claude account safety and risk prevention skill. Claude防封实战 (Claude anti-ban practice) It intelligently assesses your device, account history, network environment, and payment options, then provides personalized guidance for local, VPS, or virtual machine setups.
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
What's in your data? Extract schema, statistics and entities from datasets
Python Streaming DataFrames for Kafka
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
MLBox is a powerful Automated Machine Learning python library.
OpenMMLab Foundational Library for Training Deep Learning Models
moDel Agnostic Language for Exploration and eXplanation
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
Metric learning algorithms in Python
gradslam is an open source differentiable dense SLAM library for PyTorch
Extra blocks for scikit-learn pipelines.
A research toolkit for particle swarm optimization in Python
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
Transpile trained scikit-learn estimators and transformers to C, C#, Go, Java, JavaScript, PHP and Ruby.
Scalable machine 🤖 learning for time series forecasting.
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Earth observation processing framework for machine learning in Python
:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
NFStream: a Flexible Network Data Analysis Framework.
Portfolio optimization with deep learning.