Stats + ML
pwr2ppl: Power analyses for a wide range common behavioral science research designs
Canonical Correlation Analysis Model Zoo: Standard: CCA, GCCA, MCCA, TCCA, KCCA, TKCCA, sparse CCA , ridge CCA and elastic CCA, PMD, PLS. Deep: DCCA, DMCCA, DGCCA, DTCCA. DVCCA, DCCAE, SplitAE. Pro…
A Julia package for Gaussian Processes
A framework for developing neural network models for 3D image processing.
A Python implementation of LightFM, a hybrid recommendation algorithm.
A Julia package for probability distributions and associated functions.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Statsmodels: statistical modeling and econometrics in Python
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
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.
python / numpy / pandas / patsy version of ComBat for removing batch effects.
Statistical Rethinking course and book package
CPU and GPU-accelerated Machine Learning Library
[CONTRIBUTORS WELCOME] Generalized Additive Models in Python
TensorFlow-based neural network library
A curated list of awesome Machine Learning frameworks, libraries and software.
Automated Machine Learning with scikit-learn
[NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
Create delightful software with Jupyter Notebooks
Deep learning software to decode EEG, ECG or MEG signals
🏭 The base production setup of BIIGLE, the image and video annotation tool
CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation
A procedural Blender pipeline for photorealistic training image generation
Cross-domain Correspondence Learning for Exemplar-based Image Translation. (CVPR 2020 Oral)