There are 9 repositories under prediction-model topic.
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale
[TNNLS] Differentiable Integrated Prediction and Planning Framework for Urban Autonomous Driving
Classification of Breast Cancer diagnosis Using Support Vector Machines
Home battery prediction and charging automation for Home Assistant, supporting many inverter types
Predict movie's IMDB rating
Stock analysis/prediction model using machine learning
Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs (CVPR 2019)
[ITSC 2023] Predictive Decision-making Framework with Interaction-aware Motion Forecasting Model
DEEPScreen: Virtual Screening with Deep Convolutional Neural Networks Using Compound Images
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks (ICLR 2021)
Method for Predicting failures in Equipment using Sensor data. Sensors mounted on devices like IoT devices, Automated manufacturing like Robot arms, Process monitoring and Control equipment etc., collect and transmit data on a continuous basis which is Time stamped.
In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays and oil prices.
深度学习与股票分析预测
Extended Joint Models for Longitudinal and Survival Data
learningOrchestra is a distributed Machine Learning integration tool that facilitates and streamlines iterative processes in a Data Science project.
Project for Predicting Algerian Forest Fires and Fire Weather Index Using Machine Learning with Python.
Python implementation of various soccer/football analytics methods such as Poisson goals prediction, Shin method, machine learning prediction... This is a companion python module for octosport medium blog.
A library & tools to evaluate predictive language models.
Collects software dedicated to predicting specific properties of peptides
Joint Models for Longitudinal and Survival Data using MCMC
Top Class Stock Price Prediction Project through Machine Learning Algorithms for Google. Easy Understanding and Implementation. B.tech Final Year College Project.
This program predicts the price of GOOG stock for a specific day using the Machine Learning algorithm called Support Vector Regression (SVR) Linear Regression. Importing flask module in the project is mandatory An object of Flask class is our WSGI application.
Business Case Study to predict customer churn rate based on Artificial Neural Network (ANN), with TensorFlow and Keras in Python. This is a customer churn analysis that contains training, testing, and evaluation of an ANN model. (Includes: Case Study Paper, Code)
This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates
this is my repository for the quick draw prediction model project
Hybrid Time Series using LSTM and Kalman Filtering
Forecasting high-impact research topics via machine learning on evolving knowledge graphs
Predict stock market pricing over 180 minutes using Black-Scholes stochastic modeling and parallel Monte-Carlo simulations.
Joint Models for Longitudinal & Survival Data under Maximum Likelihood
A recommender engine built for a Bay Area online dating website to maximize the successful matches by introducing hybrid recommender system and reverse match technique.
This is a deep-learning based model for Electronic Design Automation(EDA), predicting the IR drop location on the chip.