Pinned Repositories
amazon-sagemaker-bert-pytorch
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
awesome-deep-learning-papers
The most cited deep learning papers
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
cikm-cup-2016-cross-device
Solution for the cross-device linking challenge from CIKM Cup 2016
DrQA
Reading Wikipedia to Answer Open-Domain Questions
m-treelstm
Multiplicative Tree-Structured Long Short-Term Memory Networks for Semantic Representations
nn4nqa
A Neural Network-based Framework for Non-factoid Question Answering
practical-pytorch
PyTorch tutorials demonstrating modern techniques with readable code
namkhanhtran's Repositories
namkhanhtran/nn4nqa
A Neural Network-based Framework for Non-factoid Question Answering
namkhanhtran/m-treelstm
Multiplicative Tree-Structured Long Short-Term Memory Networks for Semantic Representations
namkhanhtran/cikm-cup-2016-cross-device
Solution for the cross-device linking challenge from CIKM Cup 2016
namkhanhtran/amazon-sagemaker-bert-pytorch
namkhanhtran/awesome-deep-learning-papers
The most cited deep learning papers
namkhanhtran/DrQA
Reading Wikipedia to Answer Open-Domain Questions
namkhanhtran/practical-pytorch
PyTorch tutorials demonstrating modern techniques with readable code
namkhanhtran/amr
Cornell AMR Semantic Parser (EMNLP 2015)
namkhanhtran/awesome-public-datasets
An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!
namkhanhtran/awesome-seml
A curated list of articles that cover the software engineering best practices for building machine learning applications.
namkhanhtran/data_science
daily curated links in DS, DL, NLP, ML
namkhanhtran/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
namkhanhtran/deeplearning-models
A collection of various deep learning architectures, models, and tips
namkhanhtran/dycer
Dynamic Context-aware Entity Recommendation
namkhanhtran/EntityLinkingRetrieval-ELR
Exploiting entity linking in queries for entity retrieval
namkhanhtran/ganhacks
starter from "How to Train a GAN?" at NIPS2016
namkhanhtran/generating-reviews-discovering-sentiment
Code for "Learning to Generate Reviews and Discovering Sentiment"
namkhanhtran/ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
namkhanhtran/keras-language-modeling
Some language modeling tools for Keras
namkhanhtran/MLAlgorithms
Minimal and clean examples of machine learning algorithms
namkhanhtran/namkhanhtran.github.io
A repository stored some personal information and posts https://namkhanhtran.github.io/
namkhanhtran/OpenBB
Investment Research for Everyone, Everywhere.
namkhanhtran/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 ;)
namkhanhtran/python-machine-learning-book
The "Python Machine Learning" book code repository and info resource
namkhanhtran/python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
namkhanhtran/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
namkhanhtran/stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
namkhanhtran/textClassifier
Text classifier for Hierarchical Attention Networks for Document Classification
namkhanhtran/ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
namkhanhtran/triplet_recommendations_keras
An example of doing MovieLens recommendations using triplet loss in Keras