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90daysofdevops

This repository is my documenting repository for learning the world of DevOps. I started this journey on the 1st January 2022 and I plan to run to March 31st for a complete 90-day romp on spending an hour a day including weekends to get a foundational knowledge across a lot of different areas that make up DevOps.

adanet

Fast and flexible AutoML with learning guarantees.

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

andrew-ng-notes

This is Andrew NG Coursera Handwritten Notes.

applied-machine-learning-explainability-techniques

Applied Machine Learning Explainability Techniques, published by Packt

awesome-local-ai

An awesome repository of local AI tools

awesome-python

An opinionated list of awesome Python frameworks, libraries, software and resources.

bert

TensorFlow code and pre-trained models for BERT

credit-card-fraud-detection

Credit Card Fraud Detection

crop_prediction

ApnaAnaaj aims to solve crop value prediction problem in an efficient way to ensure the guaranteed benefits to the poor farmers.

data-science-projects

Collection of data science projects in Python

datascience

Data Science Respositories

deoldify

A Deep Learning based project for colorizing and restoring old images (and video!)

devops-exercises

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

docker_flask_gke

draggan

Official Code for DragGAN (SIGGRAPH 2023)

face-detection

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

graph_nets

Build Graph Nets in Tensorflow

heroku-deployment

ipl-analytics

This project Demonstrates the use of Matches and Deliveries Data set and Gives you insights and learnings about how to perform Data Understanding, Data Cleaning, Feature Extractions and Organizing Data. Once the Data Preparation part is Completed you can use EDA to see how are the current trends and to get more insights about the dataset(if any).

jyotisha

Python tools for the astronomical / astrological vedAnga of Hindus

lavague

Text2Action AI to automate browser interaction

live-sessions

llama_index

LlamaIndex is a data framework for your LLM applications

llm-answer-engine

Build a Perplexity-Inspired Answer Engine Using Groq, Mixtral, Langchain, Brave & OpenAI

lpu-session

machinelearningnotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

meshcnn

Convolutional Neural Network for 3D meshes in PyTorch