Ritesh Raman Aryan (R-aryan)

R-aryan

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Company:Emeritus

Location:Gurugram

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Ritesh Raman Aryan's starred repositories

Python

All Algorithms implemented in Python

Language:PythonLicense:MITStargazers:184676Issues:5924Issues:1474

awesome-public-datasets

A topic-centric list of HQ open datasets.

Made-With-ML

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Language:Jupyter NotebookLicense:MITStargazers:37160Issues:1221Issues:72

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Language:PythonLicense:Apache-2.0Stargazers:34945Issues:342Issues:2743

gym

A toolkit for developing and comparing reinforcement learning algorithms.

Language:PythonLicense:NOASSERTIONStargazers:34567Issues:1058Issues:1825

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Language:PythonLicense:MITStargazers:30221Issues:428Issues:4186

components

Component infrastructure and Material Design components for Angular

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desktop

Focus on what matters instead of fighting with Git.

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deeplearning-models

A collection of various deep learning architectures, models, and tips

Language:Jupyter NotebookLicense:MITStargazers:16632Issues:594Issues:29

DeepLearningExamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

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fashion-mnist

A MNIST-like fashion product database. Benchmark :point_down:

Language:PythonLicense:MITStargazers:11864Issues:331Issues:102

Learn_Machine_Learning_in_3_Months

This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

Language:Jupyter NotebookLicense:MITStargazers:7112Issues:375Issues:81

covid19india-react

Tracking the impact of COVID-19 in India

Language:JavaScriptLicense:MITStargazers:6862Issues:280Issues:1650

sourcerer-app

🦄 Sourcerer app makes a visual profile from your GitHub and git repositories.

Language:KotlinLicense:MITStargazers:6736Issues:67Issues:372

pacu

The AWS exploitation framework, designed for testing the security of Amazon Web Services environments.

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category_encoders

A library of sklearn compatible categorical variable encoders

Language:PythonLicense:BSD-3-ClauseStargazers:2404Issues:38Issues:290

colabcode

Run VSCode (codeserver) on Google Colab or Kaggle Notebooks

Language:PythonLicense:MITStargazers:2068Issues:20Issues:78

The-NLP-Pandect

A comprehensive reference for all topics related to Natural Language Processing

Language:PythonLicense:CC0-1.0Stargazers:2006Issues:128Issues:2

flask-dance

Doing the OAuth dance with style using Flask, requests, and oauthlib.

Language:PythonLicense:MITStargazers:1001Issues:19Issues:213

Reinforcement_Learning_for_Stock_Prediction

This is the code for "Reinforcement Learning for Stock Prediction" By Siraj Raval on Youtube

monaco-editor-webpack-plugin

Moved to https://github.com/microsoft/monaco-editor

Cognitive-SpeakerRecognition-Python

Python SDK for the Microsoft Speaker Recognition API, part of Cognitive Services

Language:PythonLicense:NOASSERTIONStargazers:109Issues:66Issues:13

10-Simple-hacks-to-speed-up-your-Data-Analysis-in-Python

Some useful Tips and Tricks to speed up the data analysis process in Python.

Name_Entity_Recognition

This repository contains model for NER trained on clinical data to extract names of diseases from unstructured text. Named-entity recognition (NER) (also known as entity extraction) is a sub-task of information extraction that seeks to locate and classify named entity mentions in unstructured text into pre-defined categories such as the person names, organizations etc.

Language:Jupyter NotebookLicense:MITStargazers:3Issues:2Issues:0

My_Flask_Bootcamp

A repository created to learn flask from scratch for my reference but do feel free to check it out and any suggestions is welcomed...!!

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Cancer-Classification-using-Deep-Learning

Deep Learning model classification model which classifies whether the cancer belongs to benign class malignant class.

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Genetic-Mutations

Developing a model using machine learning techniques to find variations in human gene and classify among different classes, to identify which mutation is harmful.

Language:Jupyter NotebookLicense:MITStargazers:1Issues:1Issues:0