arunkundgol

gpu-python-tutorial

GPU Development in Python 101 tutorial

the-algorithm

Source code for Twitter's Recommendation Algorithm

Prompt-Engineering-Guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

alphatensor

tspiral

A python package for time series forecasting with scikit-learn estimators.

skunkworks-synthetic-data

A pipeline for generating and evaluating synthetic data generation models. Currently using SynthVAE to demonstrate functionality. Read more about the project here: https://nhsx.github.io/skunkworks/synthetic-data-pipeline

Python

All Algorithms implemented in Python

dowhy

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 graphical models and potential outcomes frameworks.

NeuralNetworks-for-Quantum

Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"

label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

pyspark-style-guide

This is a guide to PySpark code style presenting common situations and the associated best practices based on the most frequent recurring topics across the PySpark repos we've encountered.

spylon

Utilities to work with Scala/Java code with py4j

covid-sim

This is the COVID-19 CovidSim microsimulation model developed by the MRC Centre for Global Infectious Disease Analysis hosted at Imperial College, London.

pyspark.test

Example unit tests for Apache Spark Python scripts using the py.test framework

pre-commit-hooks

Some out-of-the-box hooks for pre-commit

machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

covid-19

A collection of work related to COVID-19

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

machine-learning-systems-design

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

dist-keras

Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.

spark-df-profiling

Create HTML profiling reports from Apache Spark DataFrames

snorkel

A system for quickly generating training data with weak supervision

ggforce

Accelerating ggplot2

feature-selector

Feature selector is a tool for dimensionality reduction of machine learning datasets

interpret

Fit interpretable models. Explain blackbox machine learning.

gather

Spit shine for Jupyter notebooks 🧽✨

datalab-ml-training

Machine Learning Training

academic_advisory

Collected opinions and advice for academic programs focused on data science skills.

stats337

Readings in applied data science

docker-images

Official source of container configurations, images, and examples for Oracle products and projects