mojtabah
I am a senior ML scientist at Pfizer. Previously developed libraries at UC Berkeley and SUNY Buffalo.
PfizerCambridge
Pinned Repositories
chemeco
A General-Purpose Framework for Data Mining Without Coding.
chemlg
ChemLG is a smart and massive parallel molecular library generator for chemical and materials sciences.
chemml
ChemML is a machine learning and informatics program suite for the chemical and materials sciences.
2015-06-22-s2i2-git
http://guyrt.github.io/2015-06-21-s2i2/
6_23_git
http://guyrt.github.io/2015-06-21-s2i2/#setup
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
cc_example
cdse
Data science at the command line workshop
ML_tutorial
An introduction to machine learning in Python using ChemML, Numpy, Pandas, and Scikit-learn.
X-EISD
X-EISD – Extended Experimental Inferential Structure Determination
mojtabah's Repositories
mojtabah/ML_tutorial
An introduction to machine learning in Python using ChemML, Numpy, Pandas, and Scikit-learn.
mojtabah/2015-06-22-s2i2-git
http://guyrt.github.io/2015-06-21-s2i2/
mojtabah/6_23_git
http://guyrt.github.io/2015-06-21-s2i2/#setup
mojtabah/academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
mojtabah/cc_example
mojtabah/cdse
Data science at the command line workshop
mojtabah/chemml
ChemML is a machine learning and informatics program suite for the chemical and materials sciences.
mojtabah/CMS-Python-DevOps
Python Module Development
mojtabah/grade_master
mojtabah/keras-neural-graph-fingerprint
Keras implementation of Neural Graph Fingerprints as proposed by Duvenaud et al., 2015
mojtabah/Lasagne
Lightweight library to build and train neural networks in Theano
mojtabah/molecule-autoencoder
A project to enable optimization of molecules by transforming them to and from a continuous representation.
mojtabah/multiscorer
A module for allowing the use of multiple metric functions in scikit's cross_val_score
mojtabah/neural-fingerprint
Convolutional nets which can take molecular graphs of arbitrary size as input.
mojtabah/nolearn
Abstractions around neural net libraries, most notably Lasagne.
mojtabah/oop_design_pattern
Object Oriented Programing in Python 3 and design patterns
mojtabah/orange
mojtabah/python_mistakes
all the sample python scripts for talking about top 7 mistakes developers make when using python for big data analysis
mojtabah/quick_sort
A basic test for a self-written quick-sort program written in Python compared to a nested-for loop. It also compares these to the built-in Python sort
mojtabah/rdkit
The official sources for the RDKit library
mojtabah/skorch
A scikit-learn compatible neural network library that wraps pytorch
mojtabah/Spearmint
Spearmint Bayesian optimization codebase
mojtabah/staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
mojtabah/temporary
temporary repo for the sake of tutorial
mojtabah/tensorflow
Computation using data flow graphs for scalable machine learning
mojtabah/TensorFlow-Examples
TensorFlow Tutorial and Examples for beginners
mojtabah/Theano
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.