Stars
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
💫 Industrial-strength Natural Language Processing (NLP) in Python
The fundamental package for scientific computing with Python.
An open-source NLP research library, built on PyTorch.
Deep learning library featuring a higher-level API for TensorFlow.
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports comp…
Benchmarks of approximate nearest neighbor libraries in Python
A Python library to extract tabular data from PDFs
🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
A collection of research papers on decision, classification and regression trees with implementations.
Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.
A curated list of gradient boosting research papers with implementations.
Japanese morphological analysis engine written in pure Python
An extension of XGBoost to probabilistic modelling
Python version of Sudachi, a Japanese tokenizer.
Exocompilation for productive programming of hardware accelerators
Integration of Hotwire's Turbo library with Flask.
A Python toolbox for conformal prediction research on deep learning models, using PyTorch.
clikan is a super simple personal kanban board that runs in a CLI
Implementation of ResMLP, an all MLP solution to image classification, in Pytorch
Python based GBDT implementation on GPU. Efficient multioutput (multiclass/multilabel/multitask) training