Pinned Repositories
bayesian-belief-networks
Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python functions.
CapsNet-Tensorflow
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
CFDPython
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
colorcet
A set of useful perceptually uniform colormaps for plotting scientific data
cs231n.github.io
Public facing notes page
cv-tricks.com
Repository for all the tutorials and codes shared at cv-tricks.com
EPIJudge
EPI Judge - Preview Release
mpitutorial
MPI programming lessons in C and executable code examples
python-patterns
A collection of design patterns/idioms in Python
TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
tjeckleburg's Repositories
tjeckleburg/python-patterns
A collection of design patterns/idioms in Python
tjeckleburg/bayesian-belief-networks
Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python functions.
tjeckleburg/CapsNet-Tensorflow
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
tjeckleburg/CFDPython
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
tjeckleburg/colorcet
A set of useful perceptually uniform colormaps for plotting scientific data
tjeckleburg/cs231n.github.io
Public facing notes page
tjeckleburg/cv-tricks.com
Repository for all the tutorials and codes shared at cv-tricks.com
tjeckleburg/EPIJudge
EPI Judge - Preview Release
tjeckleburg/mpitutorial
MPI programming lessons in C and executable code examples
tjeckleburg/TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
tjeckleburg/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
tjeckleburg/fma
FMA: A Dataset For Music Analysis
tjeckleburg/gym
A toolkit for developing and comparing reinforcement learning algorithms.
tjeckleburg/imagenet
Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)
tjeckleburg/Insight_NLPBasics_Workshop
A repo with files used for a workshop on the basics of NLP for the 18B Insight Data Science Fellowship in NYC
tjeckleburg/kafka-cookbook
Chef cookbook for Kafka
tjeckleburg/kafka-python
Python client for Apache Kafka
tjeckleburg/kafka-streams-machine-learning-examples
This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, DeepLearning4 and other technologies.
tjeckleburg/Leetcode
Complete solutions to Leetcode problems; updated daily.
tjeckleburg/Neural-Networks-Demystified
Supporting code for short YouTube series Neural Networks Demystified.
tjeckleburg/numpy-ml
Machine learning, in numpy
tjeckleburg/ps-algods-py
tjeckleburg/pyhyp
pyHyp generates volume meshes from surface meshes using hyperbolic marching.
tjeckleburg/pythonds
Problem Solving with Algorithms and Data Structures using Python
tjeckleburg/rl-cheatsheet
RL Notation and Pseudocode for Udacity's MLND program
tjeckleburg/scratch
tjeckleburg/sidl
Deep Learning code
tjeckleburg/tech-interview-handbook
💯 Algorithms study materials, behavioral content and tips for rocking your coding interview
tjeckleburg/tensorflow
Computation using data flow graphs for scalable machine learning