algo trade agent - bot, framework, API, indicator, book, course, community
Official repository of "WAVE-0: Bridging VLA Policies and WAMs with Lightweight Latent Future Prediction"
A Simple and Universal Swarm Intelligence Engine, Predicting Anything. ็ฎๆด้็จ็็พคไฝๆบ่ฝๅผๆ๏ผ้ขๆตไธ็ฉ
A JS library for predictable global state management
Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.
A unified trading API with more than 100 crypto exchanges and prediction markets in JavaScript / TypeScript / Python / C# / PHP / Go / Java / Rust
TiDB is built for agentic workloads that grow unpredictably, with ACID guarantees and native support for transactions, analytics, and vector search. No data silos. No noisy neighbors. No infrastructure ceiling.
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
Build reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions.
A predictable state management library that helps implement the BLoC design pattern
Instant, easy, and predictable development environments
Statsmodels: statistical modeling and econometrics in Python
You're reading this. The skill predicted it. A workflow that turns every post into a calibrated experimentโscore, blind-predict, retro, evolve. The future doesn't reward effort, it rewards those who see the pattern first. 1M followers in a month โ not luck, system.
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
Run 35B MoE models in ~2.5 GB of RAM. Weights stream from SSD; a trained router predicts loads a step ahead. Mac, iPhone, Android, Windows supported
Probabilistic time series modeling in Python
Lightning โก๏ธ fast forecasting with statistical and econometric models.
Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms โ from backend services to Android and iOS, JVM, and even in-browser environments. Koog is based on our AI products expertise and provides proven solutions for complex LLM and AI problems
NeuralProphet: A simple forecasting package
TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code ๐.
Synapsa Commons: free, hands-on AI courses that run anywhere (Colab, Kaggle, Binder, Codespaces, Jupyter). EU AI Act conformity evidence, model validation, predictive maintenance, document extraction, retrieval and RAG, AI agents and MCP, a simulated humanoid. Every lesson autograded. From the team building Synapsa.
A framework for collecting and analyzing prediction market data, including the largest publicly available dataset of Polymarket and Kalshi market and trade data.
pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.
Python Toolkit for Causal and Probabilistic Reasoning
Open Source AI trading agent that operates autonomously across 1000+ markets - Polymarket, Kalshi, Binance, Hyperliquid, Solana DEXs, 5 EVM chains. Scans for edge, executes instantly, manages risk while you sleep. Agent commerce protocol for machine-to-machine payments. Self-hosted. Built on Claude.
Making Protein folding accessible to all!
A :baby: buddy to help caregivers track sleep, feedings, diaper changes, tummy time and more to learn about and predict baby's needs without (as much) guess work.
The AWS Amplify CLI is a toolchain for simplifying serverless web and mobile development.
Message Passing Neural Networks for Molecule Property Prediction
AssetOpsBench - Industry 4.0: A unified benchmark and framework for building, orchestrating, and evaluating domain-specific AI agents for Industry 4.0 asset operations and maintenance, with 460+ scenarios, 5 specialist agents (IoT, FMSR, TSFM, Work Order,...), and multi-agent orchestration blueprints (MetaAgent, AgentHive) over MCP.
This repository helps you learn Python and Machine Learning from scratch.
Collect some World Models for Autonomous Driving (and Robotic, etc.) papers.
A platform for reproducible world model research and evaluation
CCXT for prediction markets. PMXT is a unified API for trading on Polymarket, Kalshi, and more.
AI agents that actually place the trade. 12 brokers, real backtests, stocks options futures forex crypto and prediction markets.
Toward High-Accuracy Open-Source Biomolecular Structure Prediction.
๐ค A Python library for learning and evaluating knowledge graph embeddings
A comprehensive list of papers for the definition of World Models and using World Models for General Video Generation, Embodied AI, and Autonomous Driving, including papers, codes, and related websites.
A Julia machine learning framework
Natural Gradient Boosting for Probabilistic Prediction
Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.
Lightweight JavaScript library that predicts user intent based on mouse movements and keyboard navigation. Perfect for smart prefetching. Also works for mobile!
Fully async, multithreaded, predictive, open source, 3.01 reach, 1.005 timer, 0.01% speed, 99.99% antikb, "bypassable" 1.8-1.21 minecraft anticheat.
Python AutoML for Trading Systems and Sports Betting
Real-time behaviour synthesis with MuJoCo, using Predictive Control
An automated insulin delivery app for iOS, built on LoopKit
This repository features an Energy Optimization System (EOS) that optimizes energy distribution, usage for batteries, heat pumps& household devices. It includes predictive models for electricity prices (planned), load forecasting& dynamic optimization to maximize energy efficiency & minimize costs. Founder Dr. Andreas Schmitz (YouTube @akkudoktor)
Machine Learning in R
Interpretable ML package ๐ for concise, transparent, and accurate predictive modeling (sklearn-compatible).
A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
๐ Images to 3D parallax videos
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
Satellite tracker and pass predictor for Android, inspired by Gpredict
Fast and embedded solvers for nonlinear optimal control and nonlinear model predictive control
Simulate anything, for $1 & less than 10 min - Universal Swarm Intelligence Engine
Model predictive control python toolbox
Attanger (Attachment Manager) organizes Zotero attachments: attach recent downloads, match files to items, rename them with Zotero's native templates, and move or copy them into a predictable folder structure.
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
Crocoddyl is an optimal control library for robot control under contact sequence. Its solver is based on various efficient Differential Dynamic Programming (DDP)-like algorithms