Stars
Fully automatic censorship removal for language models
Fully Open Source Search Engine for SME (Small Medium Size Enterprise)
This is the work of our course project, aimed to apply machine learning in financial area.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
Run Express and other Node.js frameworks on AWS Serverless technologies such as Lambda, API Gateway, Lambda@Edge, and more.
Production infrastructure for machine learning at scale
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
A collection of various deep learning architectures, models, and tips
My Answer to 120 Data Science Interview Questions
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow
List of Data Science Cheatsheets to rule the world
Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Your new Mentor for Data Science E-Learning.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
Learn how to design, develop, deploy and iterate on production-grade ML applications.