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3D bar chart for Plotly (python)
Car Recognition with Deep Learning
This repository includes course assignments of applied machine learning with python on coursera by university of michigan.
Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)
Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow
Experimenting with sort different classical tracking algorithms for real time multiple object tracking (MOT)
This is the first benchmark dataset for houses prices that contains both images and textual information that was introduced in our paper.
Code that makes the Iowa Environmental Mesonet run, or run into the ground.
Pytorch implementation of "Exploring Interpretable LSTM Neural Networks over Multi-Variable Data" https://arxiv.org/pdf/1905.12034.pdf
Python implementation of the IOU Tracker
:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images
LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow
Realtime tracker by detections wrote in javascript for node.js / browsers
Module to create symmetric Environmentally Extended Input-Output tables for Canada.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
ParkMaster: An in-vehicle, edge-based video analytics service for detecting open parking spaces in urban environments
Uber Rides Python SDK (beta)
Multi-person tracking with SSD and Sort
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)
Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow
Modified TensorFlow Object Detection Model for vehicle detection and tracking
Reinforcement Learning for Solving the Vehicle Routing Problem
二手交易平台(wxapp)
A Python wrapper on Darknet. Compatible with YOLO V3.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.