Open decision models from 0.8B to 27B: a calibrated probability for every option in one pass, and a short thought only when unsure. Engine for vLLM, llama.cpp and MLX.
Real-time HFT bot for Polymarket crypto Up/Down markets combining CLOB order books, Chainlink feeds and multi-exchange prices with TWAP and Black-Scholes probability models; paper mode and backtests.
[Public alpha] Probability forecasting protocols, delayed-reward agent rollouts, and verifiable real-world task environments.
AgentJev-0.6B - a fast 'System One' decision model for AI Agents: feed it any unstructured state (diffs, traces, logs) and structured questions, get calibrated probability distributions back in one ~50ms forward pass. Zero output-token decoding.
Probabilistic reasoning and statistical analysis in TensorFlow
The AI Compendium, previously called the ML Compendium, curates resources and explanations of machine learning (ML) and deep learning, from a business problem through data, AI, engineering, and product.
Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, differential equations.
Fortran Standard Library
A Julia package for probability distributions and associated functions.
Methods to get the probability of a changepoint in a time series.
Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
Probability and Statistics for Data Science: A self-contained introduction to probability and statistics for data science, including a free pdf, 103 Python notebooks using 23 real-world datasets, 118 videos with slides, and solutions to 200 exercises
Know your odds before you pay the fee: open-source Monte Carlo simulation of prop-firm challenges over each firm's exact ruleset. Pass probability, expected attempts and cost, EV, optimal risk sizing. Engine, CLI, and MCP server. Deterministic, zero telemetry. By LuxAlgo.
Local decision model with calibrated probabilities: send a state and yes/no, choice or score questions, get a probability for every option. 0.8B GGUF on CPU, Jev-style API.
FlashVAD is a small causal voice-activity detector and integration toolkit for low-latency voice calls. It emits one speech probability every 10 ms
BidKing product source, self-hostable service components, and a standalone discrete-inference toolkit. MIT-licensed first-party code.
open-jev is a browser-focused TypeScript library for typed decisions: one piece of text (the state) plus any number of typed questions go in, and one forward pass returns a calibrated probability distribution per question. Nothing is generated, so an answer is always one of the options you provided.
Jev-native probability tree and graph runtime for verifiable multi-step decision making.
Open visual probability research: encode an image once, answer multiple structured questions. Public data, trained weights, reproducible baselines and failure cases.
Kalshi trading bot for prediction markets β browse event contracts and watch the order book in real time, run market making and momentum/reversion strategies with paper trading, risk limits and position sizing. Educational toolkit β not financial advice. Unofficial community project, not affiliated with Kalshi.
Algorithmic Lottozahlen Vorhersage Engine & Statistical Analysis Toolkit for German LOTTO 6aus49 & EuroJackpot (Jackapp PRO).
Local bilingual probability decisions from context, questions, and candidate answers. Independent research preview inspired by TypeSafe Jev.
Open, calibrated System 1 decision models: typed choice / score / yes-no answers with a probability for every option. 400M to 80B; CPU, NVIDIA, Apple Silicon, LM Studio, Ollama and vLLM.
Verified probability, statistics, and learning theory in Lean 4
Probability-aware evaluation for typed decision models: calibration, selective risk, latency, and reproducible benchmarks.