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
Neural Collaborative Filtering
Neural image captioning (NIC) implementation with Keras 2.
Knowledge Base Question Answering using memory networks
Implementation of a Machine Translator using a Sequence to Sequence LSTM Network with Attention
This is the code for "Neural Network Voices" by Siraj Raval on Youtube
Continuous relaxation of Random Regression Forests
The code for the paper "Neural 3D Mesh Renderer" by Hiroharu Kato, Yoshitaka Ushiku, and Tatsuya Harada.
Code for the paper 'Weighting Finite State Transductions with Neural Context', Pushpendre Rastogi, Ryan Cotterell, Jason Eisner
Felix's project for composing music using neural nets.
Deep Learning libraries tested on images and time series
This is a python and keras implementation of the VIS+LSTM visual question answering model.
LaTeX/PDF version of the online book (http://neuralnetworksanddeeplearning.com) ”Neural Networks and Deep Learning“ by Michael Nielsen (@mnielsen)
Deep Neural Networks Applied to Energy Disaggregation
An Open-source Neural Hierarchical Multi-label Text Classification Toolkit
Neural Question-Answering/Reading Comprehension (SQuAD, bAbI, CBT, NarrativeQA, VQA)
Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and normalizing flow.
Generates poetry from images using convolutional and recurrent neural networks
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
Efficient Image Captioning code in Torch, runs on GPU
image captioning model in pytorch(finetunable cnn in branch "with_finetune", self-critical training is under my self-critical.pytorch repository.)
Describing Videos with Neural Networks
Code & dataset for the paper 'Attention-based Neural Text Segmentation'
Accelerating Travelling Salesman Problems via Graph Neural Network guided localized Ising Solvers
Neuroevolution as a direct policy search deep reinforcement learning method, implemented using Keras and DEAP.
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.
Deep neural models for core NLP tasks
Deep neural models for core NLP tasks (Pytorch version)
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.