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aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
A big collection of useful questions to ask potential employers.
Code for Machine Learning for Algorithmic Trading, 2nd edition.
GoF Design Patterns with "Real-World" examples involving Food-Related Businesses and mock dependencies
A Deep Learning based project for creating line art portraits.
All Algorithms implemented in Python
⭐️ Companies that don't have a broken hiring process
A Python implementation of global optimization with gaussian processes.
λ A curated list of awesome AWS Lambda Layers. Sponsored by https://cloudash.dev
Code for a dynamic multilevel Bayesian model to predict US presidential elections. Written in R and Stan.
ML w/ ProbProg: final project repository template
Repository containing evidence of police brutality during the 2020 George Floyd protests
4th Year project aiming to implement PC, FCI and RFCI algorithms in python
Pseudocode descriptions of the algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Library for fast text representation and classification.
Python wrapper for AsterixDB HTTP API
🌬️urlExpander is a Python package for expanding shortened links (urls).
Python client library to access Data Commons
The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe D…
📚 List of awesome university courses for learning Computer Science!
Models and examples built with TensorFlow
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow
Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)