perry0418's repositories
pytorch1.0-installation-tx2
provide a compiled wheel file of pytorch1.0 on nvidia jetson TX2
Automatic_Speech_Recognition
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
deep-learning-models
Keras code and weights files for popular deep learning models.
DeepLearning.ai-Summary
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_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
developmentBoard
tpyBoard
Electric-Load-Forecasting
基于LSTM的电力负荷预测
Electric-Power-Hourly-Load-Forecasting-using-Recurrent-Neural-Networks
This project aims to predict the hourly electricity load in Toronto based on the loads of previous 23 hours using LSTM recurrent neural network.
GreaterWMS
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
hello-world
just another repository
Kats
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.
keras-yolo3
Training and Detecting Objects with YOLO3
keras_frcnn
Keras Implementation of faster-rcnn
Load-Forecasting
Forecasting average total load on the Elia electric grid via machine learning
lstm
Minimal, clean example of lstm neural network training in python, for learning purposes.
LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
micropython
MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems
micropython-lib
Core Python libraries ported to MicroPython
practicalAI
A practical approach to learning machine learning.
pytorch-pruning
fork from :https://github.com/jacobgil/pytorch-pruning
sequence_tagging
Named Entity Recognition (LSTM + CRF) - Tensorflow
subprocess
python subprocess notebook
tensorflow
Computation using data flow graphs for scalable machine learning
tensorflow-yolo
tensorflow implementation of 'YOLO : Real-Time Object Detection'(train and test)
Tensorflow_Object_Tracking_Video
Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition
uPyLoader
File transfer and communication tool for MicroPython boards
YOLO_tensorflow
tensorflow implementation of 'YOLO : Real-Time Object Detection'