Name: Anindya Saha
Type: User
Company: Machine Learning Platform Engineer @Lyft Inc.
Bio: Machine Learning Platform Engineer at Lyft Inc. Machine Learning, Data Science, Kubernetes, Spark.
Location: San Francisco Bay Area, CA
Blog: https://www.linkedin.com/in/anindyacs
Anindya Saha's Projects
Please use these examples based on deeplearning4j 0.4.* release.
List of Data Science Cheatsheets to rule the world
eCommerce 2 is a step-by-step guide to creating your own custom eCommerce site using Django (v. 1.8), Bootstrap (v. 3.3), AJAX, jQuery (v. 1.11), Braintree Payments and more.
eCommerce 2 API is a step-by-step guide to implementing an RESTful API into your eCommerce 2 project (https://github.com/codingforentrepreneurs/ecommerce-2) using the Django Rest Framework, Django Rest Framework JWT, Django CORS Headers, and more.
Ecommerce project with Spring Framework and MongoDB
EditorConfig plugin for the Eclipse IDE
Deploying PyTorch Model to Production with FastAPI in CUDA-supported Docker
Working examples with LLM Training, Fine Tuning, LoRA, QLoRA etc.
A list of cool features of Git and GitHub.
Example source code accompanying O'Reilly's "Hadoop: The Definitive Guide" by Tom White
Hadoop Map-Reduce Design Patterns
Introduction to the World of Python through Codecademy
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Introduction to Statistical Learning with R์ Python์ผ๋ก
Design patterns implemented in Java
Java 8 new features implementation
leetcode
Complete solutions to Leetcode problems; updated daily. Subscribe to my YouTube channel for more.
A Markdown file that contains my solutions of LeetCode problems.
My C++ Code for LeetCode OJ
a list of machine learning books, covering ML, RL, NLP
Udacity's Machine Learning Nanodegree project files and notes.
Machine Learning Implementations in Python
boilerplate code, scripts, modules, data for Introduction to Machine Learning with Python
Mapreduce Design Patterns Implementations & MRUnit tests
Machine learning cheatsheet