anindya-saha
Machine Learning Platform Engineer at Lyft Inc. Machine Learning, Data Science, Kubernetes, Spark.
Machine Learning Platform Engineer @Lyft Inc.San Francisco Bay Area, CA
Pinned Repositories
120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Amazon-EC2-AMI
Anindya's Data Science Server in Amazon EC2 - With Anaconda2 , xgboost, theano, keras, no GPU support
BerkeleyX-CS105x-Introduction-to-Apache-Spark
IPython Notebooks from the EdX CS105x-Introduction-to-Apache-Spark
Data-Science-with-Spark
Machine Learning and Data Analysis Case Studies using Spark.
ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Machine-Learning-with-Python
Machine Learning Implementations in Python
pydata-seattle
Repository for Anomaly Detection for PyData Seattle 2023
system-design-interview
System design interview for IT company
YelpSentiment
CSCE-689 NLP Seminar Course Project - Yelp Reviews Sentiment Analysis
anindya-saha's Repositories
anindya-saha/Data-Science-with-Spark
Machine Learning and Data Analysis Case Studies using Spark.
anindya-saha/Machine-Learning-with-Python
Machine Learning Implementations in Python
anindya-saha/pydata-seattle
Repository for Anomaly Detection for PyData Seattle 2023
anindya-saha/120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
anindya-saha/system-design-interview
System design interview for IT company
anindya-saha/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
anindya-saha/Data-Science-Interview-Resources
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
anindya-saha/Leetcode-1
Complete solutions to Leetcode problems; updated daily. Subscribe to my YouTube channel for more.
anindya-saha/mlp-mlops
Machine Learning Platform from Scratch based on Open Source Softwares
anindya-saha/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
anindya-saha/Algorithms
A collection of algorithms and data structures
anindya-saha/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
anindya-saha/blog
Anindya's Blog using Jupyter Book
anindya-saha/CodeForces
Solutions of CodeFroces problems.
anindya-saha/data_science_blogs
A repository to keep track of all the code that I end up writing for my blog posts.
anindya-saha/deploying-machine-learning-models
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
anindya-saha/distributed-pytorch-template
This is a seed project for distributed PyTorch training, which was built to customize your network quickly
anindya-saha/example-ml-project
Deploying PyTorch Model to Production with FastAPI in CUDA-supported Docker
anindya-saha/Generative-AI-with-LLMs
Working examples with LLM Training, Fine Tuning, LoRA, QLoRA etc.
anindya-saha/github-cheat-sheet
A list of cool features of Git and GitHub.
anindya-saha/leetcode
leetcode
anindya-saha/LeetCode-3
My C++ Code for LeetCode OJ
anindya-saha/mlops-mlplatform-on-eks
Terraform frame to deploy a MLOps plattform on AWS EKS using Airflow, MLflow, and Jupyterhub.
anindya-saha/notes
anindya-saha/optimum-habana
Easy and lightning fast training of 🤗 Transformers on Habana Gaudi processor (HPU)
anindya-saha/Papers-Literature-ML-DL-RL-AI
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
anindya-saha/pytorch-gpu
Repository to learn distributed programming with pytorch and document challenges
anindya-saha/reservation_cancellation_prediction
Predict if a reservation will be canceled using robust Machine Learning pipelines with Airflow and Mlflow
anindya-saha/statsintro_python
Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"
anindya-saha/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.