Sayak Paul
Sayak Paul
ML-Bootcamp-Launchpad
Contains notebooks prepared for ML Bootcamp organized by Google Developers Launchpad.
BERT-for-Mobile
Compares the DistilBERT and MobileBERT architectures for mobile deployments.
big_vision_experiments
Contains my experiments with the `big_vision` repo to train ViTs on ImageNet-1k.
deit-tf
Includes PyTorch -> Keras model porting code for DeiT models with fine-tuning and inference notebooks.
Denoised-Smoothing-TF
Minimal implementation of Denoised Smoothing (https://arxiv.org/abs/2003.01908) in TensorFlow.
deploy-hf-tf-vision-models
This repository shows various ways of deploying a vision model (TensorFlow) from 🤗 Transformers.
Distributed-Training-in-TensorFlow-2-with-AI-Platform
Contains code to demonstrate distributed training in TensorFlow 2 with AI Platform and custom Docker contains.
Dual-Deployments-on-Vertex-AI
Project demonstrating dual model deployment scenarios using Vertex AI (GCP).
E2E-Object-Detection-in-TFLite
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.
FloydHub-Anomaly-Detection-Blog
Contains the thorough experiments made for a FloydHub article on Anomaly Detection