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/command-t
Fast file navigation for VIM
tozammel/PythonMachineLearning
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
tozammel/VBA-toolbox
The VBA toolbox
tozammel/arabic_event_gsr
Gold standard records for Arabic event data
tozammel/awd-lstm-lm
LSTM and QRNN Language Model Toolkit for PyTorch
tozammel/awesome-capsule-networks
A curated list of awesome resources related to capsule networks
tozammel/awesome-LaTeX
Curated list of LaTeX awesomeness
tozammel/Book-Deep-Learning-Applications-with-Applications-Using-Python
Chapterwise code available in the book
tozammel/CapsNet
CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art
tozammel/CausalImpact
An R package for causal inference in time series
tozammel/Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
tozammel/Dictionaries
PETRARCH actor, agent and verb dictionaries
tozammel/ETAS
Modeling Earthquake Data Using the ETAS Model
tozammel/GEM
tozammel/GRFP
Here are a set of example Relevant Background and Future Goals and Graduate Research Plan Statement statements for the NSF GRFP in Ecology and Evolutionary Biology.
tozammel/Know-Evolve
Implementation code for ICML '17 paper "Deep Temporal Reasoning for Dynamic Knowledge Graphs"
tozammel/lightning
Large-scale linear classification, regression and ranking in Python
tozammel/nips2017
A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017
tozammel/OptML_course
EPFL Course - Optimization for Machine Learning - CS-439
tozammel/poincare-embeddings
PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
tozammel/pyglmnet
Python implementation of elastic-net regularized generalized linear models
tozammel/pyhawkes
Python framework for inference in Hawkes processes.
tozammel/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
tozammel/Self-exciting-point-process-SEPP-for-crime-hotspot-prediction
Given a historical record of crime, this script models the hotspot surface which representing the vulnerable locations to imminent victimisations
tozammel/spark-nlp
Natural Language Understanding Library for Apache Spark.
tozammel/spatio-temporal-paper-list
Spatio-temporal modeling 论文列表(主要是graph convolution相关)
tozammel/stochastics
A project to do inference and prediction for univariate and multivariate self-exciting (Hawkes) point processes
tozammel/structured-text-tools
A list of command line tools for manipulating structured text data
tozammel/topojson
tozammel/WhirlwindTourOfPython
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"