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🕵️‍♂️ 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.

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

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.

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

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

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.

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

High performance distributed data processing engine

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

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

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

Fast DuckDB-powered TypeScript library for tabular, geospatial, vector, AI, Google Sheets, and data visualization workflows on Deno, Node.js, and Bun.

∞ 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.

Streaming anomaly detection in Python: 16 online detectors (xStream, LODA, RS-Hash, Half-Space Trees, RRCF…) plus calibration and prequential evaluation for real-time data.

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.

Geospatial Raster support for Spark DataFrames

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

Quickly view satellite imagery, hyperspectral imagery, and machine learning image outputs directly in your iTerm2 terminal.