Pinned Repositories
18335
18.335 - Introduction to Numerical Methods course
Ad-papers
Papers on Computational Advertising
expRNN
Code to reproduce the NeurIPS 2019 paper "Trivializations for Gradient-Based Optimization on Manifolds" and the ICML 2019 paper "Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group"
MI-NEE
Mutual Information Neural Entropic Estimation
Mixture-Models
A python package for fitting a wide variety of Mixture Models
NUS-Templates
kasakh's Repositories
kasakh/expRNN
Code to reproduce the NeurIPS 2019 paper "Trivializations for Gradient-Based Optimization on Manifolds" and the ICML 2019 paper "Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group"
kasakh/MI-NEE
Mutual Information Neural Entropic Estimation
kasakh/Ad-papers
Papers on Computational Advertising
kasakh/arxiv-latex-cleaner
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
kasakh/autograd
Efficiently computes derivatives of numpy code.
kasakh/autograd-introduction
kasakh/Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
kasakh/Awesome-VAEs
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
kasakh/bidding-machine
An implementation of the TKDE paper "Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising"
kasakh/contextual
Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies
kasakh/dagmm
My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
kasakh/education
Materials for my lectures and for self-study in machine learning
kasakh/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
kasakh/Glow-PyTorch
Simple, extendable, easy to understand Glow implementation in PyTorch
kasakh/indian-parallel-corpora
kasakh/irl-benchmark
kasakh/maths
kasakh/mixest
MixEst: A MATLAB toolbox for mixture-model parameter estimation
kasakh/NLP-with-Python
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
kasakh/nltk
NLTK Source
kasakh/Notebooks
IPython Notebooks on various things
kasakh/pronunciation
kasakh/pymanopt
Python toolbox for optimization on manifolds with support for automatic differentiation
kasakh/pytorch-mdn
Mixture Density Networks for PyTorch
kasakh/Spoon-Knife
This repo is for demonstration purposes only.
kasakh/swgmm
Sliced Wasserstein Distance for Learning Gaussian Mixture Models
kasakh/tf-example-models
TensorFlow-based implementation of (Gaussian) Mixture Model and some other examples.
kasakh/tutorials
kasakh/Using-Deep-Learning-Neural-Networks-and-Candlestick-Chart-Representation-to-Predict-Stock-Market
kasakh/word2gm
Word to Gaussian Mixture Model