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

🐗 🐻 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

Introducing neural networks to predict stock prices

Deep neural network framework for multi-label text classification

Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.

Human Trajectory Prediction Dataset Benchmark (ACCV 2020)

Predict time-series with one line of code.

(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

Curated Tensorflow code resources to help you get started with Deep Learning.

A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python

🌎 Verification of weather and climate forecasts 🌍

Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo, Y., Wu, Q., Li, X., & Huang, B. (2021). Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit. Journal of Intelligent Manufacturing, 1-10.