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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.

pybrain

pytorch-pruning

fork from :https://github.com/jacobgil/pytorch-pruning

pytorch1.0-installation-tx2

provide a compiled wheel file of pytorch1.0 on nvidia jetson TX2

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'

yolov3

YOLOv3 in PyTorch > ONNX > CoreML > iOS