10_optimization_problems

Slides and source code for presentation.

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.

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

awesome-ocr

awesome-rl

Reinforcement learning resources curated

aws_deep_race

aws_s3_files

AWS -Upload,Read And Write And Download Files In And From S3 bucket Using Python

aws_sagemaker_xgboost

Build,Train,Deploy Machine Learning Model AWS SageMaker- Predicting Test Data Endpoints

classification-model-yt-video

This repository is for the breast cancer classification video on Hello World HD (youtube channel)

covid_classification

To Build a Deep Learning Model in Python that automatically detects the Patient having Covid-19 or not from chest X-ray images.

data-resources-for-materials-science

A list of databases, datasets and books/handbooks where you can find materials properties for machine learning applications.

demo

Hello Python

deployment_repo

detectron2

Detectron2 Setup

dvc_mlops

Creating ML pipeline using DVC !

east

A tensorflow implementation of EAST text detector

east-crnn_ocr

Text Detection and Recognition using East and CRNN Model.

face_recognition_project

Modern Face Recognition with Deep Learning.

faster_pandas

Testing, performance, Memory Management

fightingfirewithfirepower

Using machine-learning models to classify wildfires by intensity

fire-smoke-dataset

An image dataset for training fire and frame detection AI

fire_fighting

Fire and Smoke Recognition using Deep Learning(Image Classification) Model for a Fire Fighting Robot

fpp3-python-readalong

Python-centered read-along of Forecasting: Principles and Practice

friendsdontletfriends

Friends don't let friends make certain types of data visualization - What are they and why are they bad.

gnn

Using Torch and Torch Geometric for defining a graph

graph_nets

Build Graph Nets in Tensorflow

haarcascade_classifier_pytesseract

License Number Plate Recognition using Pytesseract

handwriting_recognition_crnn_lstm

In this notebook, we'll go through the steps to train a CRNN (CNN+RNN) model for handwriting recognition. The model will be trained using the CTC(Connectionist Temporal Classification) loss.

handwriting_recognition_hindi_lstm_ctc

khushboogoel01