AutoLab-SAI-SJTU / WAVE-0
Official repository of "WAVE-0: Bridging VLA Policies and WAMs with Lightweight Latent Future Prediction"
AutoLab-SAI-SJTU / WAVE-0
666ghj / MiroFish
A Simple and Universal Swarm Intelligence Engine, Predicting Anything. ็ฎๆด้็จ็็พคไฝๆบ่ฝๅผๆ๏ผ้ขๆตไธ็ฉ
ccxt / ccxt
A unified trading API with more than 100 crypto exchanges and prediction markets in JavaScript / TypeScript / Python / C# / PHP / Go / Java / Rust
serengil / deepface
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
emcie-co / parlant
Build reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions.
statsmodels / statsmodels
Statsmodels: statistical modeling and econometrics in Python
XBuilderLAB / cheat-on-content
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.
Edge0-AI / Edge0
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
awslabs / gluonts
Probabilistic time series modeling in Python
Nixtla / statsforecast
Lightning โก๏ธ fast forecasting with statistical and econometric models.
ourownstory / neural_prophet
NeuralProphet: A simple forecasting package
TarrySingh / Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
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.
Jon-Becker / prediction-market-analysis
A framework for collecting and analyzing prediction market data, including the largest publicly available dataset of Polymarket and Kalshi market and trade data.
luigifreda / pyslam
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.
pgmpy / pgmpy
Python Toolkit for Causal and Probabilistic Reasoning
babybuddy / babybuddy
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.
chemprop / chemprop
Message Passing Neural Networks for Molecule Property Prediction
IBM / AssetOpsBench
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.
galilai-group / stable-worldmodel
A platform for reproducible world model research and evaluation
Lumiwealth / lumibot
AI agents that actually place the trade. 12 brokers, real backtests, stocks options futures forex crypto and prediction markets.
bytedance / Protenix
Toward High-Accuracy Open-Source Biomolecular Structure Prediction.
pykeen / pykeen
๐ค A Python library for learning and evaluating knowledge graph embeddings
leofan90 / Awesome-World-Models
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.
ZFTurbo / Weighted-Boxes-Fusion
Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.
ScottfreeLLC / AlphaPy
Python AutoML for Trading Systems and Sports Betting
Akkudoktor-EOS / EOS
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)
vturrisi / solo-learn
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
BrokenSource / DepthFlow
๐ Images to 3D parallax videos
skforecast / skforecast
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
MiroShark / MiroShark
Simulate anything, for $1 & less than 10 min - Universal Swarm Intelligence Engine
do-mpc / do-mpc
Model predictive control python toolbox
pnnl / neuromancer
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
unitaryai / detoxify
Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using โก Pytorch Lightning and ๐ค Transformers.
predict-idlab / plotly-resampler
Visualize large time series data with plotly.py
Maelic / RelateAnything
RelateAnything: Real-Time Open-Vocabulary Relation Prediction From Any Inputs
microsoft / aurora
Implementation of the Aurora model for Earth system forecasting
marc-shade / world-intel-mcp
160-tool MCP server for real-time global intelligence from free public APIs: markets, liquidity, prediction markets, SEC filings, conflict, military, aircraft-cohort early warning, migration and border flows, cyber, climate, news and more. Dated observation history, 29 research prompts, cited briefs, geofences, SSE dashboard. MIT, no paid API keys.
retentioneering / retentioneering-tools
Python toolkit, MCP server, and agent skills for reproducible, auditable clickstream and event log analytics. Helps AI agents, data scientists and analysts build, validate, and cross-check product analytics, quantitative UX, customer journeys, graph-based user flows, behavioral segmentation, A/B tests, process mining models, Markov chain simulation
aqlaboratory / openfold-3
A fully open source biomolecular structure prediction model based on AlphaFold3
kyegomez / Open-AF3
Implementation of Alpha Fold 3 from the paper: "Accurate structure prediction of biomolecular interactions with AlphaFold3" in PyTorch
sstklen / trump-code
๐ AI decoding Trump's posts ร stock market | AI ่งฃ็ขผๅทๆฎๆจๆ ร ็พ่ก | AIใงใใฉใณใๆ็จฟรๆ ชๅผๅธๅ ดใ่งฃ่ชญ โ 31.5M models, 61.3% hit rate, open source
blaylockbk / Herbie
Download numerical weather prediction datasets (HRRR, RAP, GFS, IFS, etc.) from NOMADS, NODD partners (Amazon, Google, Microsoft), ECMWF open data, and the University of Utah Pando Archive System.
StatMixedML / XGBoostLSS
An extension of XGBoost to probabilistic modelling
FilippoAiraldi / mpc-reinforcement-learning
Reinforcement Learning with Model Predictive Control
caiovicentino / polymarket-mcp-server
๐ค AI-Powered MCP Server for Polymarket - Enable Claude to trade prediction markets with 45 tools, real-time monitoring, and enterprise-grade safety features
davidusb-geek / emhass
emhass: Energy Management for Home Assistant, is a Python module designed to optimize your home energy interfacing with Home Assistant.
JordiCorbilla / stock-prediction-deep-neural-learning
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
reservoirpy / reservoirpy
A simple and flexible code for Reservoir Computing architectures like Echo State Networks
ryanfrigo / kalshi-ai-trading-bot
A toolkit for building AI-automated trading strategies on Kalshi prediction markets.
nahrek / polyledger
Resumable Polymarket indexer: CLOB market metadata plus on-chain trades from Polygon, in one DuckDB file you can query with SQL
pySTEPS / pysteps
Python framework for short-term ensemble prediction systems.
kochlisGit / ProphitBet-Soccer-Bets-Predictor
ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.
xorq-labs / xorq
Deterministic computation ledger for agentic data work.
iit-DLSLab / Quadruped-PyMPC
A model predictive controller for quadruped robots based on the single rigid body model and written in python. Gradient-based (acados) or Sampling-based (jax)
agent-next / polymarket-paper-trader
Paper trading simulator for Polymarket
Gen-Verse / JEPA-Anything
JEPA-Anything: Learning Predictive Models across Different Worlds
jrz97619761 / test-model-thing
A small proof-of-concept language model (not an LLM) that aims to incorporate latent-space prediction, internal state using recurrent trace units, and byte-by-byte output, built with MLX.
Heman10x-NGU / openJev-verdict-2.0
Calibrated 151M Non-Autoregressive Decision Engine beating TypeSafe Jev & Laya on LocalLLaMA/typed-decisions (77.10% acc, 0.0636 Brier, 0.0144 ECE)
roboterax / video-prediction-policy-2
Official implementation of Video Prediction Policy 2: Predict Better, Act Better
bennyjo / phil
Phil is a self-improving trader: an AI agent that trades short-term prediction markets and rewrites his own strategy after every settled bet. Paper 24/7 in the cloud; small capped real stakes via Pearl Connect.