17 open source projects by sayakpaul

This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.

Contains my explorations of TensorFlow 2.x

Contains the thorough experiments made for a FloydHub article on Anomaly Detection

This repository provides a Colab Notebook that shows how to use Spatial Transformer Networks inside CNNs in Keras.

(Minimally) implements SimCLR (https://arxiv.org/abs/2002.05709) in TensorFlow 2.

Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).

Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.

Site built from fastpages: https://fastpages.fast.ai/. Deployed here 👉

This project presents a simple framework to retrieve images similar to a query image.

Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in TensorFlow 2.

Minimal implementation of Denoised Smoothing (https://arxiv.org/abs/2003.01908) in TensorFlow.

Minimal implementation of SimSiam (https://arxiv.org/abs/2011.10566) in TensorFlow 2.

Implements the ideas presented in https://arxiv.org/pdf/2004.11362v1.pdf by Khosla et al.

This repository shows how to train a custom detection model with the TFOD API, optimize it with TFLite, and perform inference with the optimized model.

Implemented an A/B Testing solution with the help of machine learning

This repository builds a product detection model to recognize products from grocery shelf images.

TF 2 implementation Learning to Resize Images for Computer Vision Tasks (https://arxiv.org/abs/2103.09950v1).