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Python library for backtesting technical/mechanical strategies in the stock and currency markets
SegNet-like network implemented in TensorFlow to use for segmenting aerial images
AI-powered text compression library for RAG systems and API calls. Reduce token usage by up to 50-60% while preserving semantic meaning with advanced compression strategies.
AI-powered SDK featuring algorithmic trading, backtesting, deployment on 100+ exchanges, and multiple optimization engines.
eBPF agent and MCP server for GPU causal observability
:mega: Python library for audio augmentation
Neural bag of words code search implementation using PyTorch and data from the CodeSearchNet project.
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
Self-tuning multi-agent AI trading system. 8-source signal fusion, Bull/Bear/Judge debate on Claude Opus 4.7, Kelly + ATR position sizing. Python · Kalshi + Polymarket adapters.
Machine Learning & Data Mining with JRuby
C# math expression library with symbolic computation support
🕶️ Adds chat auto-clear functionality to ChatGPT for more privacy
Quant trading framework by OctoBot. Write, backtest & automate Python trading strategies like TradingView Pine Script. Work in progress.
AI crypto trading bot with deep neural network (84.9% accuracy, 25 coins). BiLSTM + Attention trained on GPU. Bybit, Binance, OKX, Gate.io. Free cloud or self-hosted.
Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University
MCP server for spatial transcriptomics analysis through natural language interfaces.
A project template for spatial data science projects marrying best practices from the respective disciplines of Geography and Artificial Intelligence.
UAV related Remote Sensing Toolbox
Fast CLI tool for bird species detection using BirdNET and Perch AI models
Python3 script that transfers files in Google Colab 10-50x faster, using multi-threaded parallel copying between Google Drive locations.
Detection of rootkit file hiding activities through analysis of shifts in kernel function execution times.
Measured Agent Skills for geospatial AI — 18 skills that stop when the data cannot support the claim. Routing benchmark, held-out split, and known defects published.
A Unified Framework for Random Forest Prediction Error Estimation
High-Performance Automatic Differentiation for Python
A powerful and easy-to-use PHP SDK for the Mistral AI API, allowing seamless integration of advanced AI-powered features into your PHP projects.
Modular Framework for ML Inference on Geospatial Data
A comprehensive, accessible database that contains records of over 260k US gun violence incidents from January 2013 to March 2018.
Staff-level engineering judgment for coding agents, from design to production.
A collection of pandas & scikit-learn compatible transformers for preprocessing and feature engineering 🛠
TensorLight - A high-level framework for TensorFlow