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Infoblox
- Seattle
- https://chhayac.github.io/
Stars
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
A curated list of awesome Machine Learning frameworks, libraries and software.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Minimal examples of data structures and algorithms in Python
Best Practices on Recommendation Systems
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
A curated list of awesome mathematics resources
Anomaly detection related books, papers, videos, and toolboxes
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Natural Language Processing Best Practices & Examples
A curated list of data science blogs
A list of popular github projects related to deep learning
common data analysis and machine learning tasks using python
🌎 Simple and ready-to-use tutorials for TensorFlow
A Python module for learning all major algorithms
Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
A curated list of community detection research papers with implementations.
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Robust evasion attacks against neural network to find adversarial examples
Data Structure And Algorithmic Thinking With Python
Code for the Million Song Dataset, the dataset contains metadata and audio analysis for a million tracks, a collaboration between The Echo Nest and LabROSA. See website for details.