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My project to recreate the results in "Understanding Deep Learning Requires Rethinking Generalization" and do something similar on NLP
Repo to accompany paper "Implicit Self-Regularization in Deep Neural Networks..."
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.
Attention based model for learning to solve the Travelling Salesman Problem
Quantized word vectors that take 8x-16x less storage/memory than regular word vectors
Calculation Consulting Website Using Bootstrap Agency theme
Python for Random Matrix Theory: cleaning schemes for noisy correlation matrices.
convert caffemodel to keras weights,backend tensorflow,theano,mxnet(for keras1.2.2)
attention block for keras Functional Model with only tensorflow backend
The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and hierarchical reinforcement learning.
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.
Translating English to Yoda English using Sequence-to-Sequence with Tensorflow.
Boltzmann Machines in TensorFlow with examples
Deep learning with dynamic computation graphs in TensorFlow
Keras community contributions
Causal inference under multiple treatments using BART
Code related to blog posts on my Medium page
Keras Generative Adversarial Networks
Framework for building complex recurrent neural networks with Keras
Collection of generative models in Tensorflow
A simple deep learning library for estimating a set of tags and extracting semantic feature vectors from given illustrations.
Code for Document Similarity on Reuters dataset using Encode, Embed, Attend, Predict recipe
Code accompanying the paper "KATE: K-Competitive Autoencoder for Text"
An open-source implementation of the paper ``A Structured Self-Attentive Sentence Embedding'' published by IBM and MILA.
Keras WaveNet implementation