dpatchigolla

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

ml-templates

Common python code templates used in ML and Data Science

wordle_solver

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

coding-exercises

My implementation of useful data structures, algorithms, as well as my solutions to programming puzzles.

covid19india-cluster

:microscope: COVID19 India Cluster Network

d3-book

Code examples for “Interactive Data Visualization for the Web”

Daily-Dose-of-Data-Science

A collection of code snippets from the publication Daily Dose of Data Science on Substack: https://avichawla.substack.com.

darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

dpatchigolla.github.io

readings

data-apps-leadscoring

Template for Lead Scoring data app

dbt-basics

dpatchigolla

Github Profile

engineering-management

A collection of inspiring resources related to engineering management and tech leadership

ml-surveys

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

ml_learning

Multi-Touch-Attribution_ShapleyValue

Python implementation of Shapley value for multi touch attribution modeling

neupy

NeuPy is a Python library for Artificial Neural Networks and Deep Learning.

probability_cheatsheet

A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

project-based-learning

Curated list of project-based tutorials

python-is-cool

Cool Python features for machine learning that I used to be too afraid to use

recurrent-neural-networks

Learning about and doing projects with recurrent neural networks

rudder-server

Privacy and Security focused Segment-alternative, in Golang and React

simulation

sparkmagic

Jupyter magics and kernels for working with remote Spark clusters

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

transformers

Transformers-for-Natural-Language-Processing

Transformers for Natural Language Processing, published by Packt