Sujoy Roy's repositories

image-quality-assessment

Convolutional Neural Networks to predict the aesthetic and technical quality of images.

License:Apache-2.0Stargazers:0Issues:0Issues:0

awesome-algorithms-books

CLRS + Algorithhms by Robert Sedgewick, Kevin Wayne +Algorithm_design by Jon Kleinberg and Éva Tardos

Stargazers:0Issues:0Issues:0

end-to-end-transformers

end-to-end Transformers workflow with SageMaker

Stargazers:0Issues:0Issues:0

sagemaker-explaining-credit-decisions

Amazon SageMaker Solution for explaining credit decisions.

License:Apache-2.0Stargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0

jupyter_notebooks

Collection of Jupyter notebooks for data science problems

License:MITStargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0

deepbayes-2019

Practical assignments of the Deep|Bayes summer school 2019

Stargazers:0Issues:0Issues:0
License:MITStargazers:0Issues:0Issues:0

amazon-sagemaker-script-mode

Amazon SageMaker Script Mode examples

License:Apache-2.0Stargazers:0Issues:0Issues:0

WWW20-Hands-on-Tutorial

Materials for DGL hands-on tutorial in WWW 2020

Stargazers:0Issues:0Issues:0

sagemaker-safe-deployment-pipeline

Safe deployment pipeline for Amazon SageMaker

Stargazers:0Issues:0Issues:0

pytudes

Python programs to practice or demonstrate skills.

License:MITStargazers:0Issues:0Issues:0

bartpy

Bayesian Additive Regression Trees For Python

License:MITStargazers:0Issues:0Issues:0

research-ms-loss

MS-Loss: Multi-Similarity Loss for Deep Metric Learning

License:NOASSERTIONStargazers:0Issues:0Issues:0

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

License:Apache-2.0Stargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0
License:Apache-2.0Stargazers:0Issues:0Issues:0

causal_inference_python_code

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

Stargazers:0Issues:0Issues:0

serverless-artillery

Combine serverless with artillery and you get serverless-artillery for instant, cheap, and easy performance testing at scale.

License:Apache-2.0Stargazers:0Issues:0Issues:0

python-is-cool

Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

Stargazers:0Issues:0Issues:0

pytorch_modelsize

Estimates the size of a PyTorch model in memory

License:MITStargazers:0Issues:0Issues:0

ffmpeg-aws-lambda-layer

FFmpeg/FFprobe AWS Lambda layer

License:NOASSERTIONStargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0

aesthetics

Image Aesthetics Toolkit - includes Fisher Vector implementation, AVA (Image Aesthetic Visual Analysis) dataset and fast multi-threaded downloader

License:Apache-2.0Stargazers:0Issues:0Issues:0

pigeon

🐦 Quickly annotate data from the comfort of your Jupyter notebook

License:Apache-2.0Stargazers:0Issues:0Issues:0

notes

Resources to learn more about Machine Learning and Artificial Intelligence

Stargazers:0Issues:0Issues:0

free-programming-books

:books: Freely available programming books

License:NOASSERTIONStargazers:0Issues:0Issues:0

Learning-Deep-Features-for-One-Class-Classification

#Deep One class #Anomaly Detection

Stargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0