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Repository containing notebooks of my posts on Medium

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

🤖 A powerful, lightweight JavaScript library + interactive CLI for ChatGPT

Build LLM-powered applications in Ruby

A Julia machine learning framework

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Natural Gradient Boosting for Probabilistic Prediction

Genetic Programming in Python, with a scikit-learn inspired API

Large-scale LLM inference engine

A comprehensive guide to building RAG-based LLM applications for production.

Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

Interpretability and explainability of data and machine learning models

Rust library for quantitative finance.

Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning

Large-scale LLM inference engine

Reference implementations of MLPerf® training benchmarks

ML algorithms implemented and derived from first-principles in Jupyter Notebooks and NumPy

fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!

Machine Learning in Asset Management (by @firmai)

JVector: the most advanced embedded vector search engine

Python AutoML for Trading Systems and Sports Betting

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

Synthetic data curation for post-training and structured data extraction

OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.

Automated Machine Learning on Kubernetes

Python audio and music signal processing library

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.