Chandra Khatri's Projects
A curated list of awesome Deep Learning tutorials, projects and communities.
This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.
CPU and GPU-accelerated Machine Learning Library
Hands-On Big Data workshop materials
Config files for my GitHub profile.
In pytorch Learing Neural Networks likes CNN、LSTM、BiLSTM、DeepCNN 、CLSTM、CNN and LSTM
Convolutional Neural Network for Text Classification in Tensorflow
Using Deep Learning Models to convert simple Math Word Problems to their corresponding Equations
CS224D Final Project. Andrew Giel, Ryan Diaz. Document embeddings.
Thanks to lirenTu@scale
Library for implementing RNNs with Theano
Library to programatically generate Hack code and write it to signed files
Automatically generate headlines to short articles
Jupyter Notebooks containing implementations of different ML models from scratch and with sklearn
basic ML codes
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Neural Attention Model for Abstractive Summarization
This is the Plato Dialogue System, a flexible platform for developing conversational AI agents.