Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Projects in Awesome Lists tagged with prediction
A curated list of projects in awesome lists tagged with prediction .
https://github.com/statsmodels/statsmodels
Statsmodels: statistical modeling and econometrics in Python
count-model data-analysis data-science econometrics forecasting generalized-linear-models hypothesis-testing prediction python regression-models robust-estimation statistics timeseries-analysis
Last synced: 16 Dec 2024
https://github.com/OlafenwaMoses/ImageAI
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
ai-practice-recommendations algorithm artificial-intelligence artificial-neural-networks densenet detection gpu image-prediction image-recognition imageai inceptionv3 machine-learning object-detection offline-capable prediction python python3 squeezenet video
Last synced: 06 Nov 2024
https://github.com/olafenwamoses/imageai
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
ai-practice-recommendations algorithm artificial-intelligence artificial-neural-networks densenet detection gpu image-prediction image-recognition imageai inceptionv3 machine-learning object-detection offline-capable prediction python python3 squeezenet video
Last synced: 17 Dec 2024
https://github.com/ourownstory/neural_prophet
NeuralProphet: A simple forecasting package
artificial-intelligence autoregression deep-learning fbprophet forecast forecasting forecasting-algorithm forecasting-model machine-learning neural neural-network neuralprophet prediction prophet python pytorch seasonality time-series timeseries trend
Last synced: 16 Dec 2024
https://github.com/alro10/deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
deep-learning deep-neural-networks demand-forecasting forecasting-competitions forecasting-models lstm lstm-neural-networks prediction python3 pytorch recurrent-neural-networks sales-forecasting series-analysis series-classification series-forecasting tensorflow time-series time-series-classification time-series-forecasting time-series-prediction
Last synced: 20 Dec 2024
https://github.com/Alro10/deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
deep-learning deep-neural-networks demand-forecasting forecasting-competitions forecasting-models lstm lstm-neural-networks prediction python3 pytorch recurrent-neural-networks sales-forecasting series-analysis series-classification series-forecasting tensorflow time-series time-series-classification time-series-forecasting time-series-prediction
Last synced: 30 Oct 2024
https://github.com/achillesrasquinha/bulbea
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
deep-learning finance machine-learning prediction python-library quantitative-finance quantitative-trading sentiment-analysis stock-market stock-market-prediction stock-prediction
Last synced: 21 Dec 2024
https://github.com/rubixml/ml
A high-level machine learning and deep learning library for the PHP language.
ai algorithm analytics anomaly-detection artificial-intelligence classification clustering cross-validation data-science deep-learning machine-learning machine-learning-library natural-language-processing neural-network php php-ai php-machine-learning php-ml prediction regression
Last synced: 18 Dec 2024
https://github.com/RubixML/ML
A high-level machine learning and deep learning library for the PHP language.
ai algorithm analytics anomaly-detection artificial-intelligence classification clustering cross-validation data-science deep-learning machine-learning machine-learning-library natural-language-processing neural-network php php-ai php-machine-learning php-ml prediction regression
Last synced: 28 Oct 2024
https://github.com/gocrane/crane
Crane is a FinOps Platform for Cloud Resource Analytics and Economics in Kubernetes clusters. The goal is not only to help users to manage cloud cost easier but also ensure the quality of applications.
analytics autoscaling cloud-computing cloud-native cncf cost-control cost-estimation cost-optimization finops kubernetes monitoring prediction time-series
Last synced: 17 Dec 2024
https://github.com/stevenmiller888/mind
A neural network library built in JavaScript
mind neural-network prediction
Last synced: 20 Dec 2024
https://github.com/axelderomblay/mlbox
MLBox is a powerful Automated Machine Learning python library.
auto-ml automated-machine-learning automl classification data-science deep-learning distributed drift encoding kaggle keras lightgbm machine-learning optimization pipeline prediction preprocessing regression stacking xgboost
Last synced: 20 Dec 2024
https://github.com/AxeldeRomblay/MLBox
MLBox is a powerful Automated Machine Learning python library.
auto-ml automated-machine-learning automl classification data-science deep-learning distributed drift encoding kaggle keras lightgbm machine-learning optimization pipeline prediction preprocessing regression stacking xgboost
Last synced: 11 Nov 2024
https://github.com/seldonio/seldon-server
Machine Learning Platform and Recommendation Engine built on Kubernetes
aws azure cloud deep-learning deployment docker gcp java kafka kafka-streams kubernetes machine-learning microservices prediction python recommendation-engine recommender-system seldon spark tensorflow
Last synced: 20 Dec 2024
https://github.com/SeldonIO/seldon-server
Machine Learning Platform and Recommendation Engine built on Kubernetes
aws azure cloud deep-learning deployment docker gcp java kafka kafka-streams kubernetes machine-learning microservices prediction python recommendation-engine recommender-system seldon spark tensorflow
Last synced: 15 Nov 2024
https://github.com/tanu-n-prabhu/python
This repository helps you understand python from the scratch.
data dataanalysis datascraping google-colab google-colab-notebook jupyter-notebook machine-learning numpy numpy-arrays pandas-dataframe prediction python python-3 python3
Last synced: 19 Dec 2024
https://github.com/Tanu-N-Prabhu/Python
This repository helps you understand python from the scratch.
data dataanalysis datascraping google-colab google-colab-notebook jupyter-notebook machine-learning numpy numpy-arrays pandas-dataframe prediction python python-3 python3
Last synced: 08 Nov 2024
https://github.com/lastancientone/deep_learning_machine_learning_stock
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
algorithms data-science deep-learning feature-engineering feature-extraction feature-selection features-extraction financial-engineering machine-learning neural-network prediction stock-analysis stock-data stock-market stock-prediction stock-price-prediction stock-prices stock-trading technical-analysis trading
Last synced: 21 Dec 2024
https://github.com/chickenbestlover/rnn-time-series-anomaly-detection
RNN based Time-series Anomaly detector model implemented in Pytorch.
anomaly-detection forecast neural-network prediction rnn time-series
Last synced: 16 Dec 2024
https://github.com/chickenbestlover/RNN-Time-series-Anomaly-Detection
RNN based Time-series Anomaly detector model implemented in Pytorch.
anomaly-detection forecast neural-network prediction rnn time-series
Last synced: 02 Nov 2024
https://github.com/dobiasd/frugally-deep
A lightweight header-only library for using Keras (TensorFlow) models in C++.
c-plus-plus c-plus-plus-14 convolutional-neural-networks cpp cpp14 deep-learning edge-computing header-only keras keras-models library machine-learning prediction python tensorflow tinyml
Last synced: 19 Dec 2024
https://github.com/Dobiasd/frugally-deep
Header-only library for using Keras (TensorFlow) models in C++.
c-plus-plus c-plus-plus-14 convolutional-neural-networks cpp cpp14 deep-learning edge-computing header-only keras keras-models library machine-learning prediction python tensorflow tinyml
Last synced: 28 Oct 2024
https://github.com/upb-lea/reinforcement_learning_course_materials
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
control course course-materials jupyter jupyter-notebooks latex lecture lecture-notes machine-learning online-learning online-videos open-education open-education-resources open-educational-resources prediction python reinforcement-learning teaching teaching-materials tutorial
Last synced: 19 Dec 2024
https://github.com/jofpin/synthbtc
A tool that uses advanced Monte Carlo simulations and Turbit parallel processing to create possible Bitcoin prediction scenarios.
bitcoin data-processing monte-carlo-simulation nodejs prediction synthetic-data turbit
Last synced: 19 Dec 2024
https://github.com/paddlepaddle/serving
A flexible, high-performance carrier for machine learning models(『飞桨』服务化部署框架)
dag deep-learning docker gpu micro-service microservice-toolkit online-service paddle paddle-serving pipeline prediction predictor python rpc-service serving
Last synced: 20 Dec 2024
https://github.com/jofpin/synthBTC
A tool that uses advanced Monte Carlo simulations and Turbit parallel processing to create possible Bitcoin prediction scenarios.
bitcoin data-processing monte-carlo-simulation nodejs prediction synthetic-data turbit
Last synced: 26 Sep 2024
https://github.com/PaddlePaddle/Serving
A flexible, high-performance carrier for machine learning models(『飞桨』服务化部署框架)
dag deep-learning docker gpu micro-service microservice-toolkit online-service paddle paddle-serving pipeline prediction predictor python rpc-service serving
Last synced: 27 Oct 2024
https://github.com/ahmetozlu/vehicle_counting_tensorflow
:oncoming_automobile: "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.
color-recognition computer-vision data-science deep-learning deep-neural-networks detection image-processing machine-learning object-detection object-detection-label opencv prediction python speed-prediction tensorflow tensorflow-object-detection-api vehicle-counting vehicle-detection vehicle-detection-and-tracking vehicle-tracking
Last synced: 16 Dec 2024
https://github.com/trekhleb/machine-learning-octave
🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
clustering linear-regression machine-learning matlab neural-network neural-networks octave prediction regression
Last synced: 20 Dec 2024
https://github.com/longxingtan/time-series-prediction
tfts: Time Series Deep Learning Models in TensorFlow
deep-learning forecasting keras-forecasting keras-prediction keras-time-series machine-learning neural-network prediction seq2seq tensorflow tf2 time-series time-series-forecast time-series-forecasting timeseries transformer wavenet
Last synced: 19 Dec 2024
https://github.com/LongxingTan/Time-series-prediction
tfts: Time Series Deep Learning Models in TensorFlow
deep-learning forecasting keras-forecasting keras-prediction keras-time-series machine-learning neural-network prediction seq2seq tensorflow tf2 time-series time-series-forecast time-series-forecasting timeseries transformer wavenet
Last synced: 02 Nov 2024
https://github.com/vivekpa/introneuralnetworks
Introducing neural networks to predict stock prices
algorithmic-trading data-science finance guide keras-tensorflow lstm-neural-networks machine-learning mlp-networks neural-network prediction prediction-mod python quantitative-finance regression-models stock-price-prediction stock-prices trading trading-strategies tutorial yahoo-finance
Last synced: 21 Dec 2024
https://github.com/inspirehep/magpie
Deep neural network framework for multi-label text classification
classification deep-learning machine-learning multi-label-classification neural-network nlp prediction word2vec
Last synced: 18 Dec 2024
https://github.com/natanielruiz/android-yolo
Real-time object detection on Android using the YOLO network with TensorFlow
android android-device android-studio apk demo detection object-detection pascal-voc prediction tensorflow tensorflow-yolo yolo
Last synced: 28 Oct 2024
https://github.com/strengejacke/ggeffects
Estimated Marginal Means and Marginal Effects from Regression Models for ggplot2
estimated-marginal-means hacktoberfest marginal-effects prediction
Last synced: 19 Dec 2024
https://github.com/erdos-project/pylot
Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
autonomous-driving autonomous-vehicles carla carla-simulator control lane-detection machine-learning obstacle-tracking perception planning prediction self-driving-car traffic-light-detection
Last synced: 22 Dec 2024
https://github.com/M-Nauta/TCDF
Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
causality cnn forecasting machine-learning neural-networks prediction python pytorch timeseries
Last synced: 15 Nov 2024
https://github.com/microprediction/timemachines
Predict time-series with one line of code.
prediction prediction-algorithm predictions predictive-modeling time-series time-series-analysis timeseries timeseries-analysis timeseries-data timeseries-forecasting
Last synced: 20 Dec 2024
https://github.com/dotchen/LAV
(CVPR 2022) A minimalist, mapless, end-to-end self-driving stack for joint perception, prediction, planning and control.
autonomous-driving carla-simulator cvpr2022 distillation imitation-learning perception planning prediction
Last synced: 28 Oct 2024
https://github.com/andreiapostoae/dota2-predictor
Tool that predicts the outcome of a Dota 2 game using Machine Learning
dota dota2 gaming logistic-regression machine-learning neural-network prediction
Last synced: 27 Nov 2024
https://github.com/antononcube/mathematicaforprediction
Mathematica implementations of machine learning algorithms used for prediction and personalization.
algorithm algorithms-implemented machine-learning-algorithms mathematica prediction
Last synced: 15 Dec 2024
https://github.com/antononcube/MathematicaForPrediction
Mathematica implementations of machine learning algorithms used for prediction and personalization.
algorithm algorithms-implemented machine-learning-algorithms mathematica prediction
Last synced: 20 Nov 2024
https://github.com/skcript/tensorflow-resources
Curated Tensorflow code resources to help you get started with Deep Learning.
ai artificial-neural-networks classification convolutional-networks deep-learning machine-learning prediction regression tensorflow tensorflow-examples tensorflow-resources
Last synced: 17 Dec 2024
https://github.com/kexinhuang12345/clinicalBERT
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)
clinicalbert hospital-readmission prediction
Last synced: 02 Nov 2024
https://github.com/aras62/vision-based-prediction
Deep Learning for Vision-based Prediction
actions dataset deep-learning metrics motion papers prediction trajectory video vision
Last synced: 15 Dec 2024
https://github.com/ricknout/rugby-ranker
An Android app for viewing and predicting the latest World Rugby rankings 🏉
android kotlin prediction rugby
Last synced: 16 Dec 2024
https://github.com/Gaius-Augustus/Augustus
Genome annotation with AUGUSTUS
annotation discovery gene genome prediction
Last synced: 03 Nov 2024
https://github.com/sktime/skpro
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
ai data-science distributional-regression distributions failure-prediction framework machine-learning prediction probability-distributions python regression sklearn sktime survival-analysis survival-models survival-prediction time-to-event
Last synced: 20 Dec 2024
https://github.com/openfoodfacts/openfoodfacts-ai
This is a tracking repo for all our AI projects. 🍕 🤖🍼
artificial-intelligence computer-vision deep-learning food machine-learning neural-network nlp nutrition packaging photogrammetry prediction
Last synced: 15 Dec 2024
https://github.com/pangeo-data/climpred
:earth_americas: Verification of weather and climate forecasts :earth_africa:
climate climate-analysis dask forecasting pangeo prediction python s2d s2s xarray
Last synced: 05 Nov 2024
https://github.com/ikki407/stacking
Stacked Generalization (Ensemble Learning)
ensemble ensemble-learning prediction scikit-learn stacking xgboost
Last synced: 17 Dec 2024
https://github.com/yromano/cqr
Conformalized Quantile Regression
algorithmic-fairness conformal-methods conformal-prediction deep-learning fairness prediction prediction-intervals pytorch quantile-regression random-forest random-forest-regression
Last synced: 27 Oct 2024
https://github.com/tmthyjames/achoo
Achoo 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!
air-quality-data data-science diy pollen prediction python r raspberry-pi weather
Last synced: 17 Nov 2024
https://github.com/rohanchandra30/TrackNPred
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.
cvpr deep-learning icra noisy-sensor-inputs prediction road-agents social-gan social-lstm tracking-algorithm trajectory-prediction traphic yolo
Last synced: 09 Nov 2024
https://github.com/joaoborks/unity-fastpacedmultiplayer
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
authoritative client compensation entity interpolation lag multiplayer networking prediction reconciliation server unet unity
Last synced: 10 Nov 2024
https://github.com/triandicAnt/GraphEmbeddingRecommendationSystem
Python based Graph Propagation algorithm, DeepWalk to evaluate and compare preference propagation algorithms in heterogeneous information networks from user item relation ship.
deepwalk graph graph-embedding graph-propagation-algorithm prediction python rating recommendation-system
Last synced: 18 Nov 2024
https://github.com/stocknear/frontend
UI of stocknear - Open Source Stock Analysis
ai community data data-science finance machine-learning memes pocketbase prediction stock-market svelte sveltekit
Last synced: 21 Dec 2024
https://github.com/peptoneltd/dspp-keras
Protein order and disorder data for Keras, Tensor Flow and Edward frameworks with automated update cycle made for continuous learning applications.
ai amino-acids biology biotechnology database dataset keras machine-learning polymer prediction protein protein-structure tensorflow
Last synced: 12 Nov 2024
https://github.com/krystianity/coinpusher
:chart_with_upwards_trend: real-time cryptocurrency chart prediction based on neuronal-networks :bowtie:
bitcoin bitstamp charts cryptocurrency ethereum litecoin neuronal-network prediction real-time
Last synced: 20 Dec 2024
https://github.com/bukosabino/btctrading
Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms
bitcoin deep-learning deep-neural-networks forecast future machine-learning machine-learning-algorithms prediction price time-series trends xgboost
Last synced: 12 Dec 2024
https://github.com/business-science/sweep
Extending broom for time series forecasting
broom forecast forecasting-models prediction r-package tidy tidyverse time time-series timeseries
Last synced: 21 Dec 2024
https://github.com/dobriban/Topics-In-Modern-Statistical-Learning
Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, calibration, etc
calibration conformal-prediction deep-learning machine-learning prediction tolerance-intervals uncertainty-quantification
Last synced: 17 Nov 2024
https://github.com/minerva-ml/open-solution-toxic-comments
Open solution to the Toxic Comment Classification Challenge
challenge competition data-science deep-learning ensemble-model kaggle kaggle-competition machine-learning neptune nlp pipeline prediction python python3
Last synced: 27 Nov 2024
https://github.com/htm-community/htm.core
Actively developed Hierarchical Temporal Memory (HTM) community fork (continuation) of NuPIC. Implementation for C++ and Python
ai anomaly-detection cortical-learning cpp hierarchical-temporal-memory htm neural-networks neuromorphic-computing neuroscience neuroscience-inspired-ai nupic prediction reproducible-research sparse-distributed-memory
Last synced: 20 Nov 2024
https://github.com/hugorut/neural-cli
command line neural network
hypothesis neural-network prediction
Last synced: 19 Dec 2024
https://github.com/prbonn/point-cloud-prediction
Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks
cloud forecasting lidar point point-cloud point-cloud-forecasting point-cloud-prediction point-forecasting prediction range-image self-supervised-learning video video-prediction
Last synced: 19 Dec 2024
https://github.com/vonfeng/DeepMove
Codes for WWW'18 Paper-DeepMove: Predicting Human Mobility with Attentional Recurrent Network
attention mobility-trajectory prediction www
Last synced: 14 Nov 2024
https://github.com/celebi-pkg/flight-analysis
Python package to scrape flight data from Google Flights and analyzes prices. Can determine optimal flight from date, place, and price
data-science google pandas planes prediction price-tracker python
Last synced: 21 Dec 2024
https://github.com/dirkhovy/text_analysis_for_social_science
Code for the CUP Elements on text analysis in Python for social scientists
analysis classification-models clustering data-analysis embeddings neural-networks prediction predictive-modeling social-sciences text-analysis text-classification topic-modeling
Last synced: 27 Oct 2024
https://github.com/AnderssonPeter/PowerType
Autocomplete for PowerShell
autocomplete cli completions powershell prediction suggestion terminal
Last synced: 04 Nov 2024
https://github.com/goessl/machinelearning
An easy neural network for Java!
artificial-intelligence begginer easy-to-use hidden-layers java learning learning-rate lightweight machine-learning matrices matrix matrix-calculations neural-network neurons prediction weight weights
Last synced: 29 Nov 2024
https://github.com/goessl/MachineLearning
An easy neural network for Java!
artificial-intelligence begginer easy-to-use hidden-layers java learning learning-rate lightweight machine-learning matrices matrix matrix-calculations neural-network neurons prediction weight weights
Last synced: 08 Nov 2024
https://github.com/gcarq/keras-timeseries-prediction
Time series prediction with Sequential Model and LSTM units
keras lstm machine-learning prediction regression-models
Last synced: 27 Oct 2024
https://github.com/jakekandell/nba-predict
Predicts Daily NBA Games Using a Logistic Regression Model
data-science logistic-regression model nba nba-analytics nba-prediction nba-stats pandas prediction predictive-modeling python python3 scikit-learn
Last synced: 07 Nov 2024
https://github.com/denissimon/prediction-builder
A library for machine learning that builds predictions using a linear regression.
composer linear-regression machine-learning ml php prediction regression
Last synced: 17 Dec 2024
https://github.com/juliadynamics/timeseriesprediction.jl
Prediction of timeseries using methods of nonlinear dynamics and timeseries analysis
chaos dynamics julia nonlinear prediction timeseries
Last synced: 12 Nov 2024
https://github.com/cyanogenoid/dspn
[NeurIPS 2019] Deep Set Prediction Networks
deep-learning neurips neurips-2019 prediction set
Last synced: 13 Nov 2024
https://github.com/smaegol/plasflow
Software for prediction of plasmid sequences in metagenomic assemblies
classification contigs fasta metagenome metagenome-assembly metagenomes plasflow plasmid plasmid-sequences plasmids prediction tensorflow
Last synced: 16 Dec 2024
https://github.com/chuanyuxue/the-purchase-and-redemption-forecast-challenge-baseline
天池“资金流入流出预测——挑战baseline”的解决方案,线上效果143.5
competition data-mining prediction tianchi time-series
Last synced: 16 Nov 2024
https://github.com/marcogdepinto/deep-learning-model-deploy-with-django
Serving a keras model (neural networks) in a website with the python Django-REST framework.
api api-rest artificial-intelligence artificial-neural-networks deep-learning deep-neural-networks django django-application django-framework django-rest-framework keras keras-model keras-models keras-neural-networks keras-tensorflow prediction python python-3 python3 tensorflow
Last synced: 11 Oct 2024
https://github.com/wassname/attentive-neural-processes
implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)
anp anp-rnn attention attentive-neural-processes neural-processes prediction pytorch rnn uncertainty
Last synced: 08 Nov 2024
https://github.com/leeper/prediction
Tidy, Type-Safe 'prediction()' Methods
model predict prediction r regression tidy-data
Last synced: 15 Dec 2024
https://github.com/thohemp/6drepnet360
Official Pytorch implementation of "Towards Robust and Unconstrained Full Range of Rotation Head Pose Estimation" IEEE TIP 24
cnn estimation full head pose prediction rotation
Last synced: 14 Dec 2024
https://github.com/rdflib/graph-pattern-learner
Evolutionary Graph Pattern Learner that learns SPARQL queries for a given set of source-target-pairs from an endpoint.
algorithm associations data-mining embeddings end-to-end-learning graph-algorithms graph-pattern-learner graph-queries human-associations knowledge-graph knowledge-mining learners linked-data machine-learning pattern-learning prediction rdf semantic-web sparql
Last synced: 07 Nov 2024
https://github.com/rexlow/ai-reading-materials
Some of the ML and DL related reading materials, research papers that I've read
artificial-intelligence bots deep-learning face-detection face-recognition fuzzy-logic lstm machine-learning mit neural-network ocr paper prediction python reading-materials recurrent-neural-networks reinforcement-learning
Last synced: 23 Nov 2024
https://github.com/SentometricsResearch/sentometrics
An integrated framework in R for textual sentiment time series aggregation and prediction
nlp prediction sentiment-analysis text-mining time-series
Last synced: 11 Nov 2024
https://github.com/Superzchen/iLearnPlus
iLearnPlus is the first machine-learning platform with both graphical- and web-based user interface that enables the construction of automated machine-learning pipelines for computational analysis and predictions using nucleic acid and protein sequences.
automated-modelling bioinformatics-tool biomedical-data-analytics deep-learning feature-selection machine-learning prediction python sequence-analysis
Last synced: 28 Nov 2024
https://github.com/Reddy-dev/SMN2
Character Movement Network Prediction easily accessible in UE5 Blueprints!
game-networking movement-networking multiplayer-game networking prediction
Last synced: 30 Oct 2024
https://github.com/hamrel-cxu/EnbPI
Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction for time-series (journal, IEEE TPAMI)
anomaly-detection conformal-prediction machine-learning prediction prediction-interval time-series
Last synced: 05 Nov 2024
https://github.com/ethz-asl/3d_vsg
3D Variable Scene Graphs for long-term semantic scene change prediction.
3d deltavsg graph prediction scene scenegraph variability variable vsg
Last synced: 07 Nov 2024
https://github.com/kumar-laxmi/stock-prediction-system-application
Stock Prediction System is a ML based website designed using Django's Framework and CSS's BootStrap Framework (NOTE: ALL THE DEPLOYMENTS ARE CURRENTLY DOWN)
bootstrap django-framework machine-learning prediction python stock-market stock-market-prediction stock-prediction stock-price-prediction stock-price-predictions
Last synced: 11 Oct 2024
https://github.com/ChibaniMohamed/cnn_age_gender
Age and Gender prediction using Keras
cnn-keras deep-learning neural-network prediction
Last synced: 11 Nov 2024
https://github.com/shopify/bevel
Ordinal regression in Python
inference ordinal-regression pandas-dataframe prediction python
Last synced: 27 Nov 2024
https://github.com/sjkaliski/infer
🔮 Use TensorFlow models in Go to evaluate Images (and more soon!)
go golang inference machine-learning prediction tensorflow
Last synced: 28 Oct 2024
https://github.com/vatshayan/final-year-disease-prediction-project
Final Year Project Diseases Prediction System through Machine Learning. Disease Prediction system with code and documents
btech btech-project btechfinalyear btechproject college-project data-science disease disease-prediction final final-project final-year-project finalyearproject finalyearprojects machine-learning machine-learning-algorithms machinelearning prediction python sem8
Last synced: 28 Oct 2024
https://github.com/mrthlinh/FIFA-World-Cup-Prediction
Predict who will win the FIFA World Cup 2018
fifa prediction random-forest worldcup2018
Last synced: 27 Nov 2024
https://github.com/cheng-lin-li/market-trend-prediction
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).
djia dow-jones-industrial-average facebook facebook-crawler jupyter knowledge-graph knowledge-graph-course lstm market-trend-prediction prediction python rnn semantic-web social-media-mining twitter twitter-crawler web-crawler yahoo-finance-api
Last synced: 13 Nov 2024
https://github.com/reddyprasade/machine-learning-with-scikit-learn-python-3.x
In general, a learning problem considers a set of n samples of data and then tries to predict properties of unknown data. If each sample is more than a single number and, for instance, a multi-dimensional entry (aka multivariate data), it is said to have several attributes or features. Learning problems fall into a few categories: supervised learning, in which the data comes with additional attributes that we want to predict (Click here to go to the scikit-learn supervised learning page).This problem can be either: classification: samples belong to two or more classes and we want to learn from already labeled data how to predict the class of unlabeled data. An example of a classification problem would be handwritten digit recognition, in which the aim is to assign each input vector to one of a finite number of discrete categories. Another way to think of classification is as a discrete (as opposed to continuous) form of supervised learning where one has a limited number of categories and for each of the n samples provided, one is to try to label them with the correct category or class. regression: if the desired output consists of one or more continuous variables, then the task is called regression. An example of a regression problem would be the prediction of the length of a salmon as a function of its age and weight. unsupervised learning, in which the training data consists of a set of input vectors x without any corresponding target values. The goal in such problems may be to discover groups of similar examples within the data, where it is called clustering, or to determine the distribution of data within the input space, known as density estimation, or to project the data from a high-dimensional space down to two or three dimensions for the purpose of visualization (Click here to go to the Scikit-Learn unsupervised learning page).
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Last synced: 06 Dec 2024
https://github.com/nayakwadis/forecasting_mutual_funds
⚡ This Project gives you an overall idea for Forecasting Mutual Funds
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Last synced: 31 Oct 2024
https://github.com/bifrost-technologies/philosophers-stone
Machine Learning Cognitive Service capable of forecasting the crypto markets! Utilizing Microsoft Machine Learning & Intel MKL.
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Last synced: 15 Nov 2024