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Some useful Tips and Tricks to speed up the data analysis process in Python.
A comprehensive reference for all topics related to Natural Language Processing
Focus on what matters instead of fighting with Git.
Run VSCode (codeserver) on Google Colab or Kaggle Notebooks
A MNIST-like fashion product database. Benchmark 👇
All Algorithms implemented in Python
Tracking the impact of COVID-19 in India
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
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 o…
Deep Learning model classification model which classifies whether the cancer belongs to benign class malignant class.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Component infrastructure and Material Design components for Angular
A library of sklearn compatible categorical variable encoders
Python SDK for the Microsoft Speaker Recognition API, part of Cognitive Services
This is the code for "Reinforcement Learning for Stock Prediction" By Siraj Raval on Youtube
A topic-centric list of HQ open datasets.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
The AWS exploitation framework, designed for testing the security of Amazon Web Services environments.
Moved to https://github.com/microsoft/monaco-editor
The "Python Machine Learning (2nd edition)" book code repository and info resource
A repository created to learn flask from scratch for my reference but do feel free to check it out and any suggestions is welcomed...!!
Doing the OAuth dance with style using Flask, requests, and oauthlib.
A collection of various deep learning architectures, models, and tips
Developing a model using machine learning techniques to find variations in human gene and classify among different classes, to identify which mutation is harmful.
🦄 Sourcerer app makes a visual profile from your GitHub and git repositories.
A toolkit for developing and comparing reinforcement learning algorithms.
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
Network packet and pcap file crafting/sniffing/manipulation/visualization security tool. Originally forked from scapy in 2015 and providing python3 compatibility since then.