Vladyslav Prytula's starred repositories
pyculiarity
A Python port of Twitter's AnomalyDetection R Package
fecon235
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
knowledge-repo
A next-generation curated knowledge sharing platform for data scientists and other technical professions.
python-patterns
A collection of design patterns/idioms in Python
torch-Video-Tutorials
Light your way in Deep Learning with Torch 🔦
udacity-driving-reader
Quick docker based reader for udacity rosbag self-driving dataset. Dumps to png/jpg + csv or Tensorflow examples.
Autopilot-TensorFlow
A TensorFlow implementation of this Nvidia paper: https://arxiv.org/pdf/1604.07316.pdf with some changes
self-driving-car
The Udacity open source self-driving car project
Udacity-SDC-Radar-Driver-Micro-Challenge
Udacity Self-Driving Car Radar Driver Micro Challenge
caffe-posenet
Implementation of PoseNet
tensorflow-workshop
Slides and code from our TensorFlow workshop.
rtb-papers
A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.
tensorflow-tutorial
Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE
awesome-rl
Reinforcement learning resources curated
seq2seq-attn
Sequence-to-sequence model with LSTM encoder/decoders and attention
cytoscape.js
Graph theory (network) library for visualisation and analysis
neuraltalk2
Efficient Image Captioning code in Torch, runs on GPU
awesome-rnn
Recurrent Neural Network - A curated list of resources dedicated to RNN
ipython-notebooks
A collection of IPython notebooks covering various topics.
awesome-deep-vision
A curated list of deep learning resources for computer vision
amazonaccess
Amazon Employee Access Challenge
torch-residual-networks
This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC and COCO challenges.
embedded_d3_example
NOTE: a magic we developed at The Data Incubator from this basis: https://github.com/thedataincubator/ihtml
scikit-learn
scikit-learn: machine learning in Python