Vadym Serpak's repositories
DSE210x-Statistics-and-Probability-in-Data-Science-using-Python
UCSanDiegoX edX Course DSE210x Statistics and Probability in Data Science using Python
BAMM.101x-Analytics-in-Python
Columbia University edX course BAMM.101x Analytics in Python
IMTx-NET03x-Queuing-Theory-from-Markov-Chains-to-Multi-Server-Systems
IMT Atlantique edX course Queuing Theory: from Markov Chains to Multi-Server Systems
DSE220x-ML-Fundamentals
UCSanDiego edX Course DSE220x Machine Learning Fundamentals
-DS101X-Statistical-Thinking-for-Data-Science-and-Analytics
Columbia University edX Course DS101X Statistical Thinking for Data Science and Analytics
AI-and-DL-Portfolio
My learning Labs, Assignments and Projects of the Udacity AIND and DLFND programs
awesome-ai-privacy
Private machine learning progress
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
cortex
Deploy machine learning models in production
deepdrive
End-to-end simulation for self-driving cars
fastbook
Draft of the fastai book
HackingNeuralNetworks
A small course on exploiting and defending neural networks
My_NLP_Examples
My notebooks with NLP examples
parkinsons-AI
Detect Parkinsons using XGBoost and NN's
Production-Level-Deep-Learning
This repo attempts to serve as a guideline for building production-level deep learning systems to be deployed in real world applications.
pytorch-dense-correspondence
Code for "Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation"
rmarkdown
Dynamic Documents for R
T-414-AFLV
T-414-ÁFLV: A Competitive Programming Course
ThinkComplexity2
Book and code for Think Complexity, 2nd edition
ThinkPython2
LaTeX source and supporting code for Think Python, 2nd edition, by Allen Downey.