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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.

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).

Recrafting Video Ads with Generative AI

↻ Keeps ChatGPT sessions fresh, eliminating chat time limits + network errors + Cloudflare checks

🖥️ Award-winning extension to enhance ChatGPT with wide/full/tall-screen + spamblock modes. Also works on poe.com!

BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.

recommender system tutorial with Python

A command-line utility for quick math.

A deep learning framework built on an autograd engine with high level abstractions and low level control.

The open source AI app collection

Tutorials about Quantitative Finance in Python and QuantLib: Pricing, xVAs, Hedging, Portfolio Optimisation, Machine Learning and Deep Learning

AI-powered NBA game outcome predictor that uses advanced team stats and trend-based features to forecast winners and track model performance

Detect trend in time series, drawdown, drawdown within a constant look-back window , maximum drawdown, time underwater.

Self-hosted Python strategy research and Alpaca paper trading with broker reconciliation, evidence gates, and live execution disabled.

⬛ Python Individual Conditional Expectation Plot Toolbox

Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.