#Prediction
Showing 60 of 111 repositories tagged #prediction, ranked by stars
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
List of papers, code and experiments using deep learning for time series forecasting
Offline multi-agent simulation & prediction engine. English fork of MiroFish with Neo4j + Ollama local stack.
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
This repository helps you learn Python and Machine Learning from scratch.
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.
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
MLBox is a powerful Automated Machine Learning python library.
A neural network library built in JavaScript
Machine Learning Platform and Recommendation Engine built on Kubernetes
RNN based Time-series Anomaly detector model implemented in Pytorch.
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
:oncoming_automobile: "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.
A flexible, high-performance carrier for machine learning models（『飞桨』服务化部署框架）
🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
tfts: Time Series Deep Learning Models in TensorFlow
🔐 AI decoding Trump's posts × stock market | AI 解碼川普推文 × 美股 | AIでトランプ投稿×株式市場を解読 — 31.5M models, 61.3% hit rate, open source
Introducing neural networks to predict stock prices
Real-time object detection on Android using the YOLO network with TensorFlow
Deep neural network framework for multi-label text classification
Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
Polymarket arbitrage trading bot tool for BTC and ETH 5-minute prediction markets with automated execution, real-time analytics, and smart wallet copy trading. Polymarket trading bot Polymarket trading bot Polymarket trading bot Polymarket arbitrage trading bot Polymarket trading bot Polymarket trading bot Polymarket trading bot Polymarket
It is a medical chatbot that will provide quick answers to FAQs by setting up rule-based keyword chatbots.
Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.
Fast webpages for all browsers.
Regression, Scrapers, and Visualization
Tool that predicts the outcome of a Dota 2 game using Machine Learning
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.
This project pulls past game data from api-football, and uses this to predict the outcome of future premier league matches with the use of classical machine learning techniques.
An Android app for viewing and predicting the latest World Rugby rankings 🏉
Ultimate Tennis Statistics and Tennis Crystal Ball - Tennis Big Data Analysis and Prediction
This is a tracking repo for all our AI projects. 🍕 🤖🍼
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!
A Streamlit web app that predicts Singapore HDB resale flat prices using a pre-trained XGBoost model. Includes an interactive transaction map, light/dark theme toggle, and Docker support for easy deployment.
Python package to scrape flight data from Google Flights and analyzes prices. Can determine optimal flight from date, place, and price
A Compositional Object-Based Approach to Learning Physical Dynamics
Find alpha, manage positions in Polymarket
:chart_with_upwards_trend: real-time cryptocurrency chart prediction based on neuronal-networks :bowtie:
Autocomplete for PowerShell
First Version.. Cryptocurrency Prediction with Artificial Intelligence (Deep Learning via LSTM Neural Networks)- Emirhan BULUT
Open solution to the Toxic Comment Classification Challenge
command line neural network
Code for the CUP Elements on text analysis in Python for social scientists
Predicts Daily NBA Games Using a Logistic Regression Model
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
Crypto liquidity detection & algorithmic trading bot. Order book analysis, stop-loss clusters, liquidity sweeps. Multi-exchange (Binance, Bybit, Kraken, OKX). Trading signals, quant research, market microstructure.
An easy neural network for Java!
Python 大六壬，占卜用，簡單，但不包含年月日時干支演化。A Python package of Dailiuren, one of the three greatest Ancient Chinese Divination Tools ever.
3D Variable Scene Graphs for long-term semantic scene change prediction.
Adaptive Kalman filter in Golang
English translation of MiroFish (github.com/666ghj/MiroFish) - A concise and universal swarm intelligence engine for predicting everything.
A sports data scraping and analysis tool
Serving a keras model (neural networks) in a website with the python Django-REST framework.
Evolutionary Graph Pattern Learner that learns SPARQL queries for a given set of source-target-pairs from an endpoint.
Python package for Granger causality test with nonlinear forecasting methods.
NBA Machine Learning Tools