Avishek Saha's starred repositories
free-programming-books
:books: Freely available programming books
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
awesome-github-profile-readme
😎 A curated list of awesome GitHub Profile which updates in real time
Best-README-Template
An awesome README template to jumpstart your projects!
python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
awesome-mlops
A curated list of references for MLOps
mlops-zoomcamp
Free MLOps course from DataTalks.Club
the-algorithm-ml
Source code for Twitter's Recommendation Algorithm
pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
t81_558_deep_learning
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
aws-sdk-pandas
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
God-Level-Data-Science-ML-Full-Stack
A collection of scientific methods, processes, algorithms, and systems to build stories & models. Whether you are a fresher in the field or an experienced professional who wants to transition into Data Science & AI
machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Efficient_Python_tricks_and_tools_for_data_scientists
Efficient Python Tricks and Tools for Data Scientists
AJAX-Movie-Recommendation-System-with-Sentiment-Analysis
A content-based recommender system that recommends movies similar to the movie the user likes and analyses the sentiments of the reviews given by the user
stat453-deep-learning-ss21
STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)
Deep-Learning-with-TensorFlow-and-Keras-3rd-edition
Deep Learning with TensorFlow and Keras – 3rd edition, Published by Packt
example-portfolio
Example data science portfolio
winter2022
Website