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A PyTorch implementation of EfficientNet
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Top2Vec learns jointly embedded topic, document and word vectors.
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
Flax is a neural network library for JAX that is designed for flexibility.
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Timing results for BLAS (Basic Linear Algebra Subprograms) libraries in R
🤗 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.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
PyMC educational resources
Feature engineering package with sklearn like functionality
ML-Ensemble – high performance ensemble learning
Exploratory analysis of Bayesian models with Python
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
Real-time Web Dashboard for Optuna.
Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
A flexible, intuitive and fast forecasting library
Simple and flexible progress bar for Jupyter Notebook and console
A simple extension for Jupyter Notebook and Jupyter Lab to beautify Python code automatically using black.
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
BAyesian Model-Building Interface (Bambi) in Python.
Always know what to expect from your data.