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
Aspect Based Sentiment Analysis using End-to-End Memory Networks
Memory Networks implementations
Theano implementation of Memory Networks
End-to-end memory networks in TensorFlow
Repository for our ICLR 2018 paper: memoryGAN
Memory efficient, serializable implementation of online random forest algorithm, with gini information measure on the GPU using OpenCL.
Codes for "meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting" and "Training Simplification and Model Simplification for Deep Learning: A Minimal Effort Back Propagation Method"
This is now the official location of the Merlin project.
Pytorch code for Arxiv Paper: Learning to learn: Meta-Critic Networks for Sample-Efficient Learning
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
code for our WWW 2019 paper: "Open World Learning for Product Classification"
Understanding Short-Horizon Bias in Stochastic Meta-Optimization
Repository for experiments with MetaProd2Vec and related algorithms.
Implementation of Meta-RL A3C algorithm
The implementation of Meta-LSTM in "Meta Multi-Task Learning for Sequence Modeling." AAAI-18
Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"
Original PyTorch implementation of the Leap meta-learner (https://arxiv.org/abs/1812.01054) along with code for running the Omniglot experiment presented in the paper.
simple keras implement for 《Memory Fusion Network for Multi-view Sequential Learning》
Test problems and source code for solving the Multiple Flying Sidekicks Traveling Salesman Problem (mFSTSP)
Investigación del problema Multiple Flying Sidekick Traveling Salesman Problem
Test problems and heuristic pseudo-code for solving the Multiple Flying Sidekicks Traveling Salesman Problem with Variable Drone Speeds (mFSTSP-VDS)
Multifaceted Feature Visualization
Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks
Multilingual hierarchical attention networks toolkit
a small library for extracting rich content from urls
Optimization of Microgrid (Multi-Objective Optimization)
Optimizing microgrid performance using reinforcement Learning
This example walks through the process of developing an optimization routine that uses forecast pricing and loading conditions to optimally store/sell energy from a grid-scale battery system.
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.