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XGBoost Python Package

LightGBM Python-package

A CLI and library for interacting with the Weights & Biases API.

A hyperparameter optimization framework

Ray provides a simple, universal API for building distributed applications.

PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate.

Natural Language Toolkit

Python framework for fast Vector Space Modelling

A very simple framework for state-of-the-art NLP

Simple, Pythonic text processing. Sentiment analysis, part-of-speech tagging, noun phrase parsing, and more.

pattern is a Python package offering a suite of plotting functions to visualize machine learning models and data. It provides intuitive and customizable plots to aid in model evaluation and data analysis.

An open-source NLP research library, built on PyTorch.

An easy-to-use wrapper library for the Transformers library.

ChatterBot is a machine learning, conversational dialog engine

Python bindings for the llama.cpp library

Python bindings for the Transformer models implemented in C/C++ using GGML library.

No description available

An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.

k-bit optimizers and matrix multiplication routines.

Placeholder for the old Airflow package