Stars
Random code for HashiCorp related projects, training, etc.
Terraform modules and ready to use end-to-end examples for Apigee.
Google Cloud Platform Certification resources.
In-depth and hands-on practice for acing the exam.
A python library for user-friendly forecasting and anomaly detection on time series.
A basic vagrant VM with docker support for project quickstart
Apache Spark (PySpark) Practice on Real Data
This is a repository where I am adding my resources for my Falsk projects - its a learning project. The end objective is to have a "flask playground" so that one could experiment. This Repository f…
Projects done in the Data Engineering Nanodegree by Udacity.com
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Databricks - Apache Spark™ - 2X Certified Developer
Material for my course: Optimization in Machine Learning
word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, inform…
Default risk prediction for Home Credit competition - Fast, scalable and maintainable SQL-based feature engineering pipeline
WTTE-RNN a framework for churn and time to event prediction
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Practical Natural Language Processing Tools for Humans is build on the top of Senna Natural Language Processing (NLP) predictions: part-of-speech (POS) tags, chunking (CHK), name entity recognition…
🤘 awesome-semantic-segmentation
Models of adversarial attacks and defenses of images, written in TensorFlow.
Mitigating Adversarial Effects Through Randomization
Circumventing the defense in "Ensemble Adversarial Training: Attacks and Defenses"
A jupyter notebook containing a walkthrough of how gradient based adversarial attacks work in 2 dimensions - Including both a white-box and black-box attack.
Tensorflow code to perform targeted advesarial attacks on inception v3.
A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks (AAAI'20)