Pinned Repositories
Azure-TDSP-Utilities
Utilities and scripts developed as part of Microsoft's Team Data Science Process for productive data science
command-t
Fast file navigation for VIM
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
density_estimation
density_estimation
epial
Machine-Learning-Study-Path-March-2019
A complete ML study path, focused on TensorFlow and Scikit-Learn
megaman
megaman: Manifold Learning for Millions of Points
pymc
PyMC: Bayesian Stochastic Modelling in Python (for PyMC3: https://github.com/pymc-devs/pymc3)
PythonMachineLearning
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
siml
Machine Learning algorithms implemented from scratch
tozammel's Repositories
tozammel/Azure-TDSP-Utilities
Utilities and scripts developed as part of Microsoft's Team Data Science Process for productive data science
tozammel/density_estimation
density_estimation
tozammel/megaman
megaman: Manifold Learning for Millions of Points
tozammel/pymc
PyMC: Bayesian Stochastic Modelling in Python (for PyMC3: https://github.com/pymc-devs/pymc3)
tozammel/test
it is for checking the utilities of git
tozammel/aic
python aic implementation
tozammel/arabic-light-stemmer
Arabic light stemmer. Light stemming for Arabic words removes prefixes and suffixes and normalizes words
tozammel/awesome-tensorflow
TensorFlow - A curated list of dedicated resources http://tensorflow.org
tozammel/broman
R/broman: A package with Karl Broman's personal R code
tozammel/bstspost
tozammel/CorEx
CorEx or "Correlation Explanation" constructs a hierarchy of maximally informative representations of complex data.
tozammel/corex_topic
Hierarchical topic models for sparse count data with CorEx.
tozammel/cvstrap
Free Minimal CV HTML5/Bootstrap Template
tozammel/DataScience
tozammel/discrete_sieve
The information sieve for discrete variables.
tozammel/forecast
forecast package for R
tozammel/free-programming-books
:books: Freely available programming books
tozammel/gcn
Implementation of Graph Convolutional Networks in TensorFlow
tozammel/matplotlib_for_papers
Handout for the tutorial "Creating publication-quality figures with matplotlib"
tozammel/medical-data
tozammel/mireg-blogs
Code for blog posts at MI Regression and Predictive Heuristics
tozammel/MLAlgorithms
Minimal and clean examples of machine learning algorithms
tozammel/neural-style-tf
TensorFlow implementation of Neural Style
tozammel/nltsa
R package to accompany Nonlinear Time Series by Douc, Moulines, and Stoffer
tozammel/pydlm
A python library for Bayesian dynamic linear models for time series data
tozammel/pymar
Markov Switching Models for Statsmodels
tozammel/python-deliberate-practice
Python Deliberate Practice
tozammel/SparseGroupLasso
tozammel/stopwords-es
Spanish stopwords collection
tozammel/VCDB
VERIS Community Database