perry0418 Goto Github PK
Type: User
Company: State Grid Electric Power Research Institute
Bio: Master of EE, Hong Kong Polytechnic University
Location: China
Type: User
Company: State Grid Electric Power Research Institute
Bio: Master of EE, Hong Kong Polytechnic University
Location: China
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
吴恩达老师的机器学习课程个人笔记
Keras code and weights files for popular deep learning models.
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
tpyBoard
基于LSTM的电力负荷预测
This project aims to predict the hourly electricity load in Toronto based on the loads of previous 23 hours using LSTM recurrent neural network.
Open source warehouse management system. And this warehouse-management-system follows Apache License 2.0 and front-back stage decoupling method. API uses restful protocol to facilitate for add-on functions development. The html & js code is constructed with quasar(base on Vue.js v2.6.0+). According to API, it can support business models such as multi warehouse, wave shipment, combined picking and milk-run and so on. To be a greater WMS
just another repository
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
Training and Detecting Objects with YOLO3
Keras Implementation of faster-rcnn
Forecasting average total load on the Elia electric grid via machine learning
Minimal, clean example of lstm neural network training in python, for learning purposes.
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems
Core Python libraries ported to MicroPython
A practical approach to learning machine learning.
fork from :https://github.com/jacobgil/pytorch-pruning
provide a compiled wheel file of pytorch1.0 on nvidia jetson TX2
Named Entity Recognition (LSTM + CRF) - Tensorflow
python subprocess notebook
Computation using data flow graphs for scalable machine learning
tensorflow implementation of 'YOLO : Real-Time Object Detection'(train and test)
Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition
File transfer and communication tool for MicroPython boards
tensorflow implementation of 'YOLO : Real-Time Object Detection'
YOLOv3 in PyTorch > ONNX > CoreML > iOS
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.