Pinned Repositories
Production-Ready-Applied-Deep-Learning
Production-Ready Applied Deep Learning
Analysis-of-the-walking-activity-dataset
Analysis of the walking activity dataset / one day data challenge
Bayesian-Machine-Learning-in-Python-A-B-Testing
Bayesian Machine Learning in Python: A/B Testing; My notes for the Udemy course Lazy Programmer Inc. Data scientist and big data enginee
CtCI-6th-Edition
Cracking the Coding Interview 6th Ed. Solutions
Data-Science--Cheat-Sheet
Cheat Sheets
From-0-to-Research-Scientist-resources-guide
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
HideFaces
Repo for my Insight project
MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
R-and-Python-in-Jupyter
R and Python in one Jupyter notebook
tpalczew's Repositories
tpalczew/100days
100 days of algorithms
tpalczew/A_few_classifiers_ML_basic
A few classifiers - ML (level basic); scikit-learn
tpalczew/ActivationFunctions_L2Norm_Glove_Vect
Bag of: activation functions, L2Norm function, cosine similarity function, how to read glove vector files
tpalczew/basic-python-lambda
some basic python stuff: string backwards, lambda, map, reduce
tpalczew/boost_python_impex
A demonstration showing how to import / export byte-data between Python & C++
tpalczew/C2AE
The implementation the paper 'Learning Deep Latent Spaces for Multi-Label Classifications' in AAAI 2017
tpalczew/Exercism.io-Solutions
My Exercism.io Solutions
tpalczew/face-segmentation-keras
A port of YuvalNirkin/face_segmentation repo to keras.
tpalczew/Face_Detection
Face Detection ( based on https://docs.opencv.org/3.4/d7/d8b/tutorial_py_face_detection.html )
tpalczew/InfoGAN
Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"
tpalczew/keras-flask-gunicorn-docker-google_app_engine_web_service
recgnition
tpalczew/KerasDeepWalk
Building word embedding for large graphs by a set of random walks. Model learning is backed by Keras, which now supports TensorFlow or Theano
tpalczew/language-style-transfer
tpalczew/machine-learning-cheat-sheet
Classical equations and diagrams in machine learning
tpalczew/Pseudo-Labelling---A-Semi-supervised-learning-technique
tpalczew/python-example1
Example 1 from the python section of my webpage www.tom-p-data-science.com
tpalczew/python-example2
Example 2 from the python section of my webpage www.tom-p-data-science.com
tpalczew/python-example3
Example 2 from the python section of my webpage www.tom-p-data-science.com
tpalczew/python-example4
Example 4 from the python section of my webpage www.tom-p-data-science.com
tpalczew/rlb-dp
Real-Time Bidding by Reinforcement Learning in Display Advertising
tpalczew/slc6-cvmfs-parrot-icsoft
docker file to create docker image ready to add IceCube soft
tpalczew/source.ml.deprecated
Source code for companion fluxcapacitor/pipeline project. Stitched together by Kubernetes gitRepo Persistent Volume
tpalczew/sql-example2
This example shows basic Query Clauses. here are several clauses (components) that make up the SELECT statement. Only one is mandatory - SELECT but of course you will usually use a few to access information you wanted Query clauses: SELECT - which column to include FROM - which table and how the tables should be joined WHERE - filters unwanted data GROUP BY - group rows together by common column values HAVING - filters unwanted groups ORDER BY - sorts
tpalczew/sql-example3
sql example 3 - Why HAVING? A HAVING clause in SQL specifies that an SQL SELECT statement should only return rows where aggregate values meet the specified conditions. It was added to the SQL language because the WHERE keyword could not be used with aggregate functions.
tpalczew/ZeroShot_CVAE
Code for A Generative Approach to Zero-Shot learning Using Conditonal Variational Autoencoders