shubhampachori12110095 Goto Github PK
Name: Shubham Pachori
Type: User
Bio: Learning to extract signal from noise.
Location: Somewhere in India
Name: Shubham Pachori
Type: User
Bio: Learning to extract signal from noise.
Location: Somewhere in India
Context-Aware Representations for Knowledge Base Relation Extraction
A simple emoji classifier for humans.
Emotion recognition using DNN with tensorflow
Principal Component Analysis (PCA) for Missing and/or Noisy Data
TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing" (in progress)
Encoder-decoder model with attention (Luong), with two LSTM layers with 500 hidden units on both encoder and decoder side. The vocabulary size on both source (english) and target side (Dutch) is 50000. The model is trained on the train part of the TED dataset (https://wit3.fbk.eu/mt.php?release=2017-01-trnmted), maximum sequence length 50.
Axive 2017
多标签分类,端到端的中文车牌识别基于mxnet, End-to-End Chinese plate recognition base on mxnet
Deal or No Deal? End-to-End Learning for Negotiation Dialogues
Implementation of the paper End-to-end Learning of Deterministic Decision Trees
Implementation of energy management strategies for a microgrid in islanded and connected mode
Use of time series modelling tools including ARIMA, LSTM, and Monte Carlo simulation to model electricity consumption, rainfall and temperature data.
PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models
energy management system for the microgrid
energy management codes developed in the past
Full version of energy management system for hybrid AC/DC microgrid power parks
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
A keras implementation of ENet (work in progress)
:memo: A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion / autosuggestion
Upsample speech audio in wav format using deep learning
Python codes related with Travelling Salesman Problem and Linear Programming
estimating parameters of strong gravitational lenses with convolutional neural networks
A Python framework for building majority vote and standard linear stacking (SLS) ensemble models. As an example, ensemble models are built to classify flower species of the Iris dataset. The models in the ensembles are a support vector machine (SVM), random forest, and k nearest neighbor.
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.