Statsmodels: statistical modeling and econometrics in Python
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Updated
Jul 3, 2024 - Python
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
Human Trajectory Prediction Dataset Benchmark (ACCV 2020)
Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
(CVPR 2022) A minimalist, mapless, end-to-end self-driving stack for joint perception, prediction, planning and control.
Predict time-series with one line of code.
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.
🌎 Verification of weather and climate forecasts 🌍
A unified framework for tabular probabilistic regression and probability distributions in python
Stacked Generalization (Ensemble Learning)
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