147 results found Sort:
Statsmodels: statistical modeling and econometrics in Python
Created
2011-06-12
15,563 commits to main branch, last one 9 days ago
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
Created
2018-03-19
385 commits to master branch, last one 8 months ago
NeuralProphet: A simple forecasting package
Created
2020-05-04
1,464 commits to main branch, last one about a month ago
List of papers, code and experiments using deep learning for time series forecasting
lstm
python3
pytorch
prediction
tensorflow
time-series
deep-learning
series-analysis
sales-forecasting
demand-forecasting
forecasting-models
series-forecasting
deep-neural-networks
lstm-neural-networks
series-classification
time-series-prediction
time-series-forecasting
forecasting-competitions
recurrent-neural-networks
time-series-classification
Created
2019-08-22
348 commits to master branch, last one 2 years ago
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
Created
2017-03-09
49 commits to master branch, last one 7 years ago
A high-level machine learning and deep learning library for the PHP language.
Created
2018-02-14
2,055 commits to master branch, last one 5 days ago
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...
Created
2021-11-18
1,166 commits to main branch, last one 5 months ago
A neural network library built in JavaScript
Created
2015-07-06
69 commits to master branch, last one 2 years ago
MLBox is a powerful Automated Machine Learning python library.
Created
2017-06-01
1,121 commits to master branch, last one 4 years ago
Machine Learning Platform and Recommendation Engine built on Kubernetes
Created
2015-02-11
1,461 commits to master branch, last one 6 years ago
This repository helps you understand python from the scratch.
Created
2019-04-27
794 commits to master branch, last one 2 months ago
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
trading
algorithms
prediction
stock-data
data-science
stock-market
stock-prices
deep-learning
stock-trading
neural-network
stock-analysis
machine-learning
stock-prediction
feature-selection
feature-extraction
technical-analysis
feature-engineering
features-extraction
financial-engineering
stock-price-prediction
Created
2018-09-29
526 commits to master branch, last one 8 months ago
RNN based Time-series Anomaly detector model implemented in Pytorch.
Created
2018-03-22
47 commits to master branch, last one 3 years ago
A lightweight header-only library for using Keras (TensorFlow) models in C++.
Created
2016-07-15
1,600 commits to master branch, last one 3 months ago
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
Created
2020-07-20
427 commits to master branch, last one about a month ago
A tool that uses advanced Monte Carlo simulations and Turbit parallel processing to create possible Bitcoin prediction scenarios.
Created
2024-08-02
6 commits to main branch, last one 3 months ago
A flexible, high-performance carrier for machine learning models(『飞桨』服务化部署框架)
Created
2019-03-31
8,762 commits to v0.9.0 branch, last one 9 months ago
:oncoming_automobile: "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.
opencv
python
detection
prediction
tensorflow
data-science
deep-learning
computer-vision
image-processing
machine-learning
object-detection
speed-prediction
vehicle-counting
vehicle-tracking
color-recognition
vehicle-detection
deep-neural-networks
object-detection-label
vehicle-detection-and-tracking
tensorflow-object-detection-api
Created
2018-01-25
76 commits to master branch, last one 3 years ago
🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
Created
2018-10-19
163 commits to master branch, last one 4 years ago
tfts: Time Series Deep Learning Models in TensorFlow
Created
2018-05-03
53 commits to master branch, last one 3 months ago
Deep neural network framework for multi-label text classification
Created
2015-11-27
196 commits to master branch, last one 4 years ago
Real-time object detection on Android using the YOLO network with TensorFlow
Created
2016-12-03
15 commits to master branch, last one 3 years ago
Estimated Marginal Means and Marginal Effects from Regression Models for ggplot2
Created
2017-06-01
1,913 commits to master branch, last one 5 days ago
Leetcode Rating Predictor built with Node. Browser extension and web interface.
Created
2021-05-23
73 commits to main branch, last one 6 months ago
Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
Created
2018-12-30
13 commits to master branch, last one 5 years ago
Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
Created
2019-06-04
743 commits to master branch, last one about a year ago
Human Trajectory Prediction Dataset Benchmark (ACCV 2020)
Created
2019-11-14
246 commits to master branch, last one 7 months ago
FBP项目全称FootBallPrediction,历经9个月完成的足球比赛预测项目。项目结合大数据+机器学习,不断摸索开发了一个程序。
Created
2018-08-20
179 commits to master branch, last one 4 months ago
Predict time-series with one line of code.
Created
2021-01-04
1,417 commits to main branch, last one 16 days ago
(CVPR 2022) A minimalist, mapless, end-to-end self-driving stack for joint perception, prediction, planning and control.
Created
2022-02-14
8 commits to main branch, last one 2 years ago