298 Open source projects that are alternatives of or similar to SF-GRU

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

Motion Planner for Self Driving Cars

[arXiv] What-If Motion Prediction for Autonomous Driving ❓🚗💨

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

Features a Networking Framework to be used on top of Unity Networking, in order to implement an Authoritative Server with Lag Compensation, Client-Side Prediction/Server Reconciliation and Entity Interpolation

This is a project of build knowledge graph course. The project leverages historical stock price, and integrates social media listening from customers to predict market Trend On Dow Jones Industrial Average (DJIA).

An easy neural network for Java!

📈 real-time cryptocurrency chart prediction based on neuronal-networks

3D model exchange format with physical material properties for virtual development, test and validation of automated driving.

🐗 🐻 Deep Learning based Python Library for Stock Market Prediction and Modelling

Supervised domain-agnostic prediction framework for probabilistic modelling

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)

Software for LOCO, our autonomous drifting RC car.

A Compositional Object-Based Approach to Learning Physical Dynamics

Code and models for the manuscript "Predicting Poverty and Developmental Statistics from Satellite Images using Multi-task Deep Learning"

Python based Graph Propagation algorithm, DeepWalk to evaluate and compare preference propagation algorithms in heterogeneous information networks from user item relation ship.

Machine learning prediction of movies genres using Gensim's Doc2Vec and PyMongo - (Python, MongoDB)

Genome annotation with AUGUSTUS

Julia sample codes for Autonomy, Robotics and Self-Driving Algorithms.

Machine Learning Platform and Recommendation Engine built on Kubernetes

GPT-2 Telegram Chat bot

Conformalized Quantile Regression

Time series prediction with Sequential Model and LSTM units

Stock for Deep Learning and Machine Learning

[NOT MAINTAINED] Predicting Bit coin price using Time series analysis and sentiment analysis of tweets on bitcoin

flink-jpmml is a fresh-made library for dynamic real time machine learning predictions built on top of PMML standard models and Apache Flink streaming engine

Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"

Owlyshield is an EDR framework designed to safeguard vulnerable applications from potential exploitation (C&C, exfiltration and impact))..

Stacked Generalization (Ensemble Learning)

Automatic Parking is an autonomous car maneuvering system (part of ADAS) that moves a vehicle from a traffic lane into a parking spot to perform parallel parking. The automatic parking system aims to enhance the comfort and safety of driving in constrained environments where much attention and experience is required to steer the car. The parking…

Protein order and disorder data for Keras, Tensor Flow and Edward frameworks with automated update cycle made for continuous learning applications.

[TPAMI 2018] Predicting the Driver’s Focus of Attention: the DR(eye)VE Project. A deep neural network learnt to reproduce the human driver focus of attention (FoA) in a variety of real-world driving scenarios.

Open solution to the Toxic Comment Classification Challenge

A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python

Human Trajectory Prediction Dataset Benchmark (ACCV 2020)

Repository for Autonomous Delivery Robot project of IvLabs, VNIT

Extending broom for time series forecasting

Prediction of Premier league standings using Poisson distribution

command line neural network

Using Kaggle Data and Real World Data for Data Science and prediction in Python, R, Excel, Power BI, and Tableau.

An easy neural network for Java!

Tidy, Type-Safe 'prediction()' Methods

A neural network library built in JavaScript

MATLAB code for Relevance Vector Machine using SB2_Release_200.

Ultimate Tennis Statistics and Tennis Crystal Ball - Tennis Big Data Analysis and Prediction

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

This is the code base for Trajectory and Driver Behavior Prediction in Autonomous Vehicles using Spectral Graph Theory

A high-level machine learning and deep learning library for the PHP language.

Neuron class provides LNU, QNU, RBF, MLP, MLP-ELM neurons

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

Age and Gender prediction using Keras

This is the code base for our ACM CSCS 2019 paper: "RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs". This codebase contains implementations for several trajectory prediction methods including Social-GAN and TraPHic.

An Android app for viewing and predicting the latest World Rugby rankings 🏉

implementation of STGCN for traffic prediction in IJCAI2018

Prediction or detection of various medical ailments

A Python library for integrating model-based and judgmental forecasting

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

Self Driving Cars Longitudinal and Lateral Control Design

A practice project for machine learning and stop price prediction

R package for fitting joint models to time-to-event data and multivariate longitudinal data