namkhanhtran

nn4nqa

A Neural Network-based Framework for Non-factoid Question Answering

m-treelstm

Multiplicative Tree-Structured Long Short-Term Memory Networks for Semantic Representations

cikm-cup-2016-cross-device

Solution for the cross-device linking challenge from CIKM Cup 2016

amazon-sagemaker-bert-pytorch

awesome-deep-learning-papers

The most cited deep learning papers

DrQA

Reading Wikipedia to Answer Open-Domain Questions

practical-pytorch

PyTorch tutorials demonstrating modern techniques with readable code

amr

Cornell AMR Semantic Parser (EMNLP 2015)

awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!

awesome-seml

A curated list of articles that cover the software engineering best practices for building machine learning applications.

data_science

daily curated links in DS, DL, NLP, ML

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deeplearning-models

A collection of various deep learning architectures, models, and tips

dycer

Dynamic Context-aware Entity Recommendation

EntityLinkingRetrieval-ELR

Exploiting entity linking in queries for entity retrieval

ganhacks

starter from "How to Train a GAN?" at NIPS2016

generating-reviews-discovering-sentiment

Code for "Learning to Generate Reviews and Discovering Sentiment"

ISLR-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

keras-language-modeling

Some language modeling tools for Keras

MLAlgorithms

Minimal and clean examples of machine learning algorithms

namkhanhtran.github.io

A repository stored some personal information and posts https://namkhanhtran.github.io/

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

python-machine-learning-book

The "Python Machine Learning" book code repository and info resource

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

rmsd

Calculate RMSD for two XYZ structures

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

textClassifier

Text classifier for Hierarchical Attention Networks for Document Classification

ThinkStats2

Text and supporting code for Think Stats, 2nd Edition

triplet_recommendations_keras

An example of doing MovieLens recommendations using triplet loss in Keras