SkproSupervised domain-agnostic prediction framework for probabilistic modelling
Stars: ✭ 107 (+84.48%)
MlA high-level machine learning and deep learning library for the PHP language.
Stars: ✭ 1,270 (+2089.66%)
Unity FastpacedmultiplayerFeatures 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
Stars: ✭ 162 (+179.31%)
Bulbea🐗 🐻 Deep Learning based Python Library for Stock Market Prediction and Modelling
Stars: ✭ 1,585 (+2632.76%)
Neural prophetNeuralProphet - A simple forecasting model based on Neural Networks in PyTorch
Stars: ✭ 1,125 (+1839.66%)
AchooAchoo uses a Raspberry Pi to predict if my son will need his inhaler on any given day using weather, pollen, and air quality data. If the prediction for a given day is above a specified threshold, the Pi will email his school nurse, and myself, notifying her that he may need preemptive treatment. Community-sourced health monitoring!
Stars: ✭ 200 (+244.83%)
Bitcoin Value Predictor[NOT MAINTAINED] Predicting Bit coin price using Time series analysis and sentiment analysis of tweets on bitcoin
Stars: ✭ 91 (+56.9%)
RVM-MATLABMATLAB code for Relevance Vector Machine using SB2_Release_200.
Stars: ✭ 38 (-34.48%)
MlboxMLBox is a powerful Automated Machine Learning python library.
Stars: ✭ 1,199 (+1967.24%)
Stock Price PredictorThis project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.
Stars: ✭ 146 (+151.72%)
AugustusGenome annotation with AUGUSTUS
Stars: ✭ 129 (+122.41%)
Seldon ServerMachine Learning Platform and Recommendation Engine built on Kubernetes
Stars: ✭ 1,435 (+2374.14%)
doc2vec pymongoMachine learning prediction of movies genres using Gensim's Doc2Vec and PyMongo - (Python, MongoDB)
Stars: ✭ 36 (-37.93%)
ClinicalbertClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)
Stars: ✭ 175 (+201.72%)
Flink Jpmmlflink-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
Stars: ✭ 88 (+51.72%)
Dspn[NeurIPS 2019] Deep Set Prediction Networks
Stars: ✭ 80 (+37.93%)
DynamicsA Compositional Object-Based Approach to Learning Physical Dynamics
Stars: ✭ 159 (+174.14%)
Deep SegmentationCNNs for semantic segmentation using Keras library
Stars: ✭ 69 (+18.97%)
Tensorflow Lstm SinTensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction
Stars: ✭ 52 (-10.34%)
Graphembeddingrecommendationsystem Python based Graph Propagation algorithm, DeepWalk to evaluate and compare preference propagation algorithms in heterogeneous information networks from user item relation ship.
Stars: ✭ 144 (+148.28%)
Neural Clicommand line neural network
Stars: ✭ 139 (+139.66%)
Rugby RankerAn Android app for viewing and predicting the latest World Rugby rankings 🏉
Stars: ✭ 245 (+322.41%)
Market-Trend-PredictionThis 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).
Stars: ✭ 57 (-1.72%)
MindA neural network library built in JavaScript
Stars: ✭ 1,466 (+2427.59%)
TcdfTemporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
Stars: ✭ 217 (+274.14%)
Tennis Crystal BallUltimate Tennis Statistics and Tennis Crystal Ball - Tennis Big Data Analysis and Prediction
Stars: ✭ 107 (+84.48%)
PylotModular autonomous driving platform running on the CARLA simulator and real-world vehicles.
Stars: ✭ 104 (+79.31%)
BtctradingTime Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms
Stars: ✭ 99 (+70.69%)
Data-ScienceUsing Kaggle Data and Real World Data for Data Science and prediction in Python, R, Excel, Power BI, and Tableau.
Stars: ✭ 15 (-74.14%)
TracknpredThis 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.
Stars: ✭ 88 (+51.72%)
StackingStacked Generalization (Ensemble Learning)
Stars: ✭ 173 (+198.28%)
Stgcnimplementation of STGCN for traffic prediction in IJCAI2018
Stars: ✭ 87 (+50%)
satimageCode and models for the manuscript "Predicting Poverty and Developmental Statistics from Satellite Images using Multi-task Deep Learning"
Stars: ✭ 27 (-53.45%)
ErgoA Python library for integrating model-based and judgmental forecasting
Stars: ✭ 82 (+41.38%)
Dspp KerasProtein order and disorder data for Keras, Tensor Flow and Edward frameworks with automated update cycle made for continuous learning applications.
Stars: ✭ 160 (+175.86%)
Ai Reading MaterialsSome of the ML and DL related reading materials, research papers that I've read
Stars: ✭ 79 (+36.21%)
Mirdeep2Discovering known and novel miRNAs from small RNA sequencing data
Stars: ✭ 70 (+20.69%)
DeepzipNN based lossless compression
Stars: ✭ 69 (+18.97%)
cqrConformalized Quantile Regression
Stars: ✭ 152 (+162.07%)
OpentrajHuman Trajectory Prediction Dataset Benchmark (ACCV 2020)
Stars: ✭ 144 (+148.28%)
BevelOrdinal regression in Python
Stars: ✭ 41 (-29.31%)
python-neuronNeuron class provides LNU, QNU, RBF, MLP, MLP-ELM neurons
Stars: ✭ 38 (-34.48%)
SweepExtending broom for time series forecasting
Stars: ✭ 143 (+146.55%)
joineRMLR package for fitting joint models to time-to-event data and multivariate longitudinal data
Stars: ✭ 24 (-58.62%)
MediCare-PrimePrediction or detection of various medical ailments
Stars: ✭ 19 (-67.24%)
Coinpusher📈 real-time cryptocurrency chart prediction based on neuronal-networks
Stars: ✭ 141 (+143.1%)