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A dead-simple API to build LLM-powered apps

Python package for Bayesian Machine Learning with scikit-learn API

AI Vim/Neovim code generation plugin (OpenAI, ChatGPT, and more)

🕵️‍♂️ Library designed for developers eager to explore the potential of Large Language Models (LLMs) and other generative AI through a clean, effective, and Go-idiomatic approach.

ChatGPT-Pro is an advanced application that combines the power of ChatGPT and DALL.E.

A C++17 library to access the entire OpenAI API.

Open-source pre-training implementation of Google's LaMDA in PyTorch. Adding RLHF similar to ChatGPT.

The open source implementation of Gemini, the model that will "eclipse ChatGPT" by Google

Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models

Start building and deploying Python packages and Docker images for MLOps tasks.

High performance distributed data processing engine

🎆 A visualization of the CapsNet layers to better understand how it works

Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.

A curated list of all machine learning algorithms and deep learning algorithms grouped by category.

Spatial Representations for Artificial Intelligence - a Python library toolkit for geospatial machine learning focused on creating embeddings for downstream tasks

∞ Generate endless answers from all-knowing ChatGPT (on any topic!)

source{d} datasets ("big code") for source code analysis and machine learning on source code

RSS as RESTful. This service allows you to transform RSS feed into an awesome API.

A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python

Python functions powered by AI agents - with runtime post-conditions for reliable agentic workflows.

The Machine Learning project including ML/DL projects, notebooks, cheat codes of ML/DL, useful information on AI/AGI and codes or snippets/scripts/tasks with tips.

Ruby language bindings for LIBSVM

Bayesian Optimization using GPflow

A distributed Spark/Scala implementation of the isolation forest and extended isolation forest algorithms for unsupervised outlier detection, featuring support for scalable training and ONNX export for easy cross-platform inference.

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

Python-based implementations of algorithms for learning on imbalanced data.

A library for augmenting annotated audio data

A fast xgboost feature selection algorithm

The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).