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/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
tozammel/AdaptiveKDE
Python module for adaptive kernel density estimation
tozammel/arxiv-sanity-preserver
Web interface for browsing, search and filtering recent arxiv submissions
tozammel/awesome-deep-learning-papers
The most cited deep learning papers
tozammel/Awesome-Deep-Learning-Resources
Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully.
tozammel/bioentities
Resources for grounding biological entities from text and describing their hierarchical relationships.
tozammel/cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers
tozammel/DMTK
Microsoft Distributed Machine Learning Toolkit
tozammel/fairseq-py
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
tozammel/fakenewschallenge
UCL Machine Reading - FNC-1 Submission
tozammel/glmnet
:exclamation: This is a read-only mirror of the CRAN R package repository. glmnet — Lasso and Elastic-Net Regularized Generalized Linear Models. Homepage: http://www.jstatsoft.org/v33/i01/.
tozammel/go
The Open Source Data Science Masters
tozammel/google-custom-search-api-python
This is a Python program to generate a .json file with n results Google Search about a specific word.
tozammel/hmmlearn
Hidden Markov Models in Python, with scikit-learn like API
tozammel/InferSent
Sentence embeddings (InferSent) and training code for NLI.
tozammel/keras-attention
Visualizing RNNs using the attention mechanism
tozammel/ml-mnist
My solution to Machine Learning MNIST challenge 2017. [winner]
tozammel/mlai
Notes on machine learning and artificial intelligence.
tozammel/nested_Multi_Instance_Learning
tozammel/neurawkes
Source code of The Neural Hawkes Process
tozammel/nmt
TensorFlow Neural Machine Translation Tutorial
tozammel/pandas-profiling
Create HTML profiling reports from pandas DataFrame objects
tozammel/PointProcesses
Basics of point processes using python for simulation
tozammel/PyMLSlides
Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book
tozammel/python-vimrc
VIM Configuration for Python / Cython / C Development
tozammel/Repo-2017
Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning
tozammel/scikit-learn
scikit-learn: machine learning in Python
tozammel/spacy-notebooks
💫 Jupyter notebooks for spaCy examples and tutorials
tozammel/textacy
higher-level NLP built on spaCy
tozammel/tick
Module for statistical learning, with a particular emphasis on time-dependent modelling