Ritesh Yadav's repositories
Kubernetes-Setup-for-Production
Some Guides to setup Kubernetes for Production Environment
NLP-Transformers-pipelines-with-ONNX
Building NLP Pipelines with ONNX and making a comparison with Pytorch Inference Pipelines
DAGsHub-Tutorial
A repo for the tutorial explaining the benefits of DVC and DAGsHub, using the classification of questions for the Cross Validated statistics Stack Exchange as an example problem
Data-science
Collection of useful data science topics along with code and articles
Hello-World-Springboot-App
A basic SpringBoot Hello World Application
k8s-aws-terraform-cluster
Deploy an high available Kubernetes (k8s) cluster on Amazon AWS
Pytorch-Lightining-Templates
This repository contains a basic implementation of CNN in Pytorch Lightining
Rapids-AI-on-MNIST
Accelerating the Performance on GPU using Rapids.ai cuml and cudf
Transformers-on-AWS-Lambda
Putting Transformer on AWS Lambda making them serverless
Unet-Torch-Implementation
Unet++ in Torch
Wandb-and-Hydra-in-Pytorch
WanDB Sweeps and Hydra Configration for Pytorch
aws-iam-access-key-auto-rotation
This set of CloudFormation templates and Python scripts will set up an auto-rotation function that will automatically rotate your AWS IAM User Access Keys every 90 days.
Aws-Production-Pipeline-MLops
An Automated production pipeline which includes aws infrastructure provisioning using terraform and CI-CD using git-hub actions.
biobert
Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Configmaps-and-Secrets
Explaining Configmaps and Secrets in Kubernetes
Event-Driven-Food-Ordering-App
A Event Driven Food Ordering App using Apache Kafka in Python
examples
Example deep learning projects that use wandb's features.
fastai_with_timm
Fastai with Timm models
Horizontal-Pod-Autoscaler
Showcasing HPA in Kubernetes
Keras-OCR-and-EasyOCR-on-Ship-Containers
Testing out some OCR Techniques
sonarqube-flask
Flask project having sonarqube configuration
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
YoloR-Deepsort-MOT
End to End Object Detection and MOT using YoloR and Deepsort