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A playbook for systematically maximizing the performance of deep learning models.
An R package for causal inference in time series
Artificial Intelligence Infrastructure-as-Code Generator.
An attempt to answer the age old interview question "What happens when you type google.com into your browser and press enter?"
Scanner for decks of cards with bar codes printed on card edges
The minimal amount of CSS to replicate the GitHub Markdown style
Turi Create simplifies the development of custom machine learning models.
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using coresets and data selection.
A template repo for Python packages
🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps
🤖 A Python library for learning and evaluating knowledge graph embeddings
Data Engineering Zoomcamp is a free nine-week course that covers the fundamentals of data engineering.
Repository containing code for "How to Train BERT with an Academic Budget" paper
Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.
Parse strings using a specification based on the Python format() syntax.
A utility for labeling clusters of text data.
Questions to ask the company during your interview
Siamese and triplet networks with online pair/triplet mining in PyTorch
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…