unitaryai / detoxify
Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using โก Pytorch Lightning and ๐ค Transformers.
unitaryai / detoxify
datawhalechina / torch-rechub
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
predict-idlab / plotly-resampler
Visualize large time series data with plotly.py
csete / gpredict
Gpredict satellite tracking application
kuest / prediction-market
Launch your own web3 decentralized prediction market in minutes (Polymarket like)
Maelic / RelateAnything
RelateAnything: Real-Time Open-Vocabulary Relation Prediction From Any Inputs
lixus7 / Time-Series-Works-Conferences
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
microsoft / aurora
Implementation of the Aurora model for Earth system forecasting
bahamas10 / bash-style-guide
A style guide for writing safe, predictable, and portable bash scripts (not sh!)
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
SMTorg / smt
SMT: The Surrogate Modeling Toolbox
Giammarco-Ferranti / deja
Predictive inline suggestions for zsh
aqlaboratory / openfold-3
A fully open source biomolecular structure prediction model based on AlphaFold3
Deodat-Lawson / LaunchStack
AI-powered StartUp Accelerator Engine built with Next.js, LangChain, PostgreSQL + pgvector. Upload, organize, and chat with documents. Includes predictive missing-document detection, role-based workflows, and page-level insight extraction.
The-FinAI / PIXIU
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
lawmaster10 / howcryptoworksbook
A free, open-source book that explains how crypto actually works. 15 chapters covering Bitcoin, Ethereum, Solana, DeFi, MEV, market structure, custody, stablecoins, governance, quantum resistance, and prediction markets.
ENSTA-U2IS-AI / awesome-uncertainty-deeplearning
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
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.
GoogleCloudPlatform / vertex-ai-samples
Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.
aarora4 / Awesome-Prediction-Market-Tools
A curated list of Prediction Market Tools - AI Agents, Analytics, APIs, Dashboards, Copy Trading, Alerting, Tracking and More!!
n2ns / antigravity-panel
Quota monitor & cache manager for Google Antigravity IDE: Gemini/Claude/GPT quota and weekly limits, usage trends with runway prediction, conversation context window monitor, Brain/Code Tracker cache cleanup, auto-accept mode, AI commit message generator. 15 languages.
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.
khalil-research / PyEPO
A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming
JordiCorbilla / stock-prediction-deep-neural-learning
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
saeyslab / nichenetr
NicheNet: predict active ligand-target links between interacting cells
NoblerWorks-HQ / IRONSIGHT
Real-time OSINT command center for the Iran/Israel and Russia/Ukraine theaters โ 50+ live open-source intelligence sources (news, Telegram, military aircraft & naval tracking, missile alerts, prediction & defense markets) in one dashboard. No API keys. Free. Next.js + TypeScript.
reservoirpy / reservoirpy
A simple and flexible code for Reservoir Computing architectures like Echo State Networks
vincentarelbundock / marginaleffects
R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and ML models. Conduct linear and non-linear hypothesis tests, or equivalence tests. Calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inference
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.
Ensembl / ensembl-vep
The Ensembl Variant Effect Predictor predicts the functional effects of genomic variants
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.
zju3dv / INTACT-JEPA
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models.
NiluK / worldmodels101
Free interactive course on world models in AI. Nine visual chapters on prediction, latent dynamics, planning, JEPA, video models, and failure modes.
Simreal-AI / future-prediction-bench
[Public alpha] Probability forecasting protocols, delayed-reward agent rollouts, and verifiable real-world task environments.
black-forest-labs / flux-action
FLUX 3 Action: open weights 7B world action model from Black Forest Labs. Train, fine-tune and run action prediction for robots (DROID, SO-101), simulators and games.
JakeATX / llamAmpere
llama.cpp fork for significantly improved performance on Ampere (especially RTX 3090 / 3090 Ti): example: 95+ tok/s over a 100K-token generation at temperature 1 for qwen3.8, supporting full 262K ctx. Supports low memory (12gb) configs for 200k+ ctx
Synpath-ai / synpath
One open-source API for prediction markets. Trade Kalshi, Polymarket, Polymarket US and Opinion with one Python SDK: unified market data, smart order routing across venues, and advanced order types. Plus tick-level Kalshi order book history.
cxmza / windle
Ship or slash โ onchain promises with collateral on Solana. Teams back promises, markets price them, the chain decides.
Cleverfuxaqo1668 / Polymarket-Telegram-Bot
A handy Polymarket prediction bot for Telegram.
semrincaballero / Polymarket-Prediction-Bot
Polymarket trading bot for prediction markets โ browse CLOB markets, watch the order book in the terminal, run edge detection, liquidity provision and cross-market arbitrage strategies with paper trading and risk limits. Educational open-source toolkit โ not financial advice. Unofficial community project, not affiliated with Polymarket.
AlayaLab / Marionette
Marionette: Predicting World States, Rendering Geometry, Painting Appearance
Stellar-tradehub / stellar-trade-contracts
Soroban smart contracts for Stellar Trade: pooled XLM markets, settlement, referrals, leaderboard, and STRD rewards.
Stellar-tradehub / stellar-trade
Stellar prediction-market prototype: buy a YES/NO position, sell by reducing it, and inspect pooled XLM settlement onchain.
shahidazam2020-oss / A-Comparative-Machine-Learning-Framework-for-Heart-Attack-Risk-Prediction-Using-Data-Preprocessing
This project presents a comparative machine learning framework for heart attack risk prediction using Python. It includes data preprocessing, feature engineering, SMOTE for class balancing, cross validation, and performance evaluation of multiple ML models.