raghavendranpm Goto Github PK
Name: Raghavendran P M
Type: User
Location: Bangalore
Name: Raghavendran P M
Type: User
Location: Bangalore
A list of datasets/corpora for NLP tasks, in reverse chronological order.
Worked examples from the NLTK Book
Neural Machine Translation with Theano+Keras
An implementation of sentiment classification by 1) CNN 2)LSTM
Deep Neural Network for object segmentation.
collection of iPython notebooks
This is the code for the "How to do Object Detection with OpenCV" live session by Siraj Raval on Youtube
An adventure 3D platformer made completely using OpenGL
This is the Traveling Salesman coding challenge by @Sirajology on Youtube
A framework for training and evaluating AI models on a variety of openly available dialog datasets.
Blog
Python3 / Tensorflow implementation of PixelCNN++, as described in "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"
pytorch neural network attention mechanism
Pytorch starter kit for Kaggle competitions
Minimal tutorials for PyTorch
Word Embedding + LSTM + FC
Semantic Segmentation Architectures Implemented in PyTorch
pytorch-seq2seq is a framework for sequence-to-sequence (seq2seq) models in PyTorch.
Interactive convnet features visualization for Keras
turn natural language into structured data
Sequence to sequence recipe summarization
Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning
A living collection of deep learning problems
dataset and code for 2016 paper "Learning a Driving Simulator"
Different approaches to computing document similarity
R-Net with PyTorch
Recurrent neural networks and Dynamic memory networks for sentiment classification
Environment and tasks for the first round of the General AI Challenge.
An online platform based on adversarial training for pixel wise classification on medical images.
semantic image segmentation networks implemented in tensorflow
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.