Statsmodels: statistical modeling and econometrics in Python
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
NeuralProphet: A simple forecasting package
Offline multi-agent simulation & prediction engine. English fork of MiroFish with Neo4j + Ollama local stack.
🐗 🐻 Deep Learning based Python Library for Stock Market Prediction and Modelling
MLBox is a powerful Automated Machine Learning python library.
RNN based Time-series Anomaly detector model implemented in Pytorch.
🚘 "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.
tfts: Time Series Deep Learning Models in TensorFlow
🔐 AI decoding Trump's posts × stock market | AI 解碼川普推文 × 美股 | AIでトランプ投稿×株式市場を解読 — 31.5M models, 61.3% hit rate, open source
Introducing neural networks to predict stock prices
Deep neural network framework for multi-label text classification
Human Trajectory Prediction Dataset Benchmark (ACCV 2020)
Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
Temporal online machines: streaming anomaly detection with calibrated p-values, built on skaters
(CVPR 2022) A minimalist, mapless, end-to-end self-driving stack for joint perception, prediction, planning and control.
Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.
Tool that predicts the outcome of a Dota 2 game using Machine Learning
Library for sequence-to-sequence numeric prediction, applicable to any tokenizable input, and allows pretraining and fine-tuning over multiple tasks.
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
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