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albumentations

fast image augmentation library and easy to use wrapper around other libraries

analysis-and-prediction-of-diabetes-disease

1.Diabetes is considered as one of the deadliest and chronic diseases which causes an increase in blood sugar.2. Many complications occur if diabetes remains untreated and unidentified. 3.The tedious identifying process results in visiting of a patient to a diagnostic center and consulting doctor. But the rise in machine learning approaches solves this critical problem.4. The motive of this study is to design a model which can prognosticate the likelihood of diabetes in patients with maximum accuracy. Therefore three machine learning classification algorithms namely Decision Tree, SVM and Naive Bayes are used in this experiment to detect diabetes at an early stage.5. Experiments are performed on Pima Indians Diabetes Database (PIDD) which is sourced from UCI machine learning repository.6. The performances of all the three algorithms are evaluated on various measures like Precision, Accuracy, F-Measure, and Recall. Accuracy is measured over correctly and incorrectly classified instances. Results obtained show Naive Bayes outperforms with the highest accuracy of 76.30% comparatively other algorithms. These results are verified using Receiver Operating Characteristic (ROC) curves in a proper and systematic manner.

anonymisation

Anonymization of legal cases (Fr) based on Flair embeddings

awesome-public-datasets

A topic-centric list of HQ open datasets.

awesome-python-applications

💿 Free software that works great, and also happens to be open-source Python.

bert

TensorFlow code and pre-trained models for BERT

chatdoctor

checklist

Beyond Accuracy: Behavioral Testing of NLP models with CheckList

cloneyourself

All the files and code needed to clone yourself using GPT3

cloud-data-lake

Data lake, data warehouse on GCP

cosmosqa

covid-19

COVID-19 Detector from x-rays using Computer Vision and Deep Learning

crudbooster

Laravel CRUD Generator, Make an Advanced Web Application Quickly

deep-learning

detext

DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks

dlaicourse

Notebooks for learning deep learning

docs

eyes-free

Automatically exported from code.google.com/p/eyes-free

fileserver

fileserver to share files

flutter_chatbot

game_control

gaussian_yolov3

Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)

graph_maker

graph_powered_ml_workshop

Material and Notebooks for the Graph Powered ML Workshop.

graphgpt

Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️‍♂️

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

intelligent_document_finder

Document Search Engine Tool

interview-question-data-science-

introduction-to-github