Dileep Patchigolla's Projects
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
A curated list of awesome machine learning interpretability resources.
My implementation of useful data structures, algorithms, as well as my solutions to programming puzzles.
:microscope: COVID19 India Cluster Network
Code examples for “Interactive Data Visualization for the Web”
A collection of code snippets from the publication Daily Dose of Data Science on Substack: https://avichawla.substack.com.
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Template for Lead Scoring data app
Github Profile
A collection of inspiring resources related to engineering management and tech leadership
Implementation of Graph Auto-Encoders in TensorFlow
Representation learning on large graphs using stochastic graph convolutions.
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
Common python code templates used in ML and Data Science
Models and examples built with TensorFlow
Python implementation of Shapley value for multi touch attribution modeling
NeuPy is a Python library for Artificial Neural Networks and Deep Learning.
A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.
The code examples used in Programming Scala, 2nd Edition (O'Reilly)
Curated list of project-based tutorials
Cool Python features for machine learning that I used to be too afraid to use
Learning about and doing projects with recurrent neural networks
Privacy and Security focused Segment-alternative, in Golang and React
Jupyter magics and kernels for working with remote Spark clusters