Ahsan's starred repositories
build-your-own-x
Master programming by recreating your favorite technologies from scratch.
awesome-electron
Useful resources for creating apps with Electron
deeplearning-models
A collection of various deep learning architectures, models, and tips
ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
leetcode-patterns
A pattern-based approach for learning technical interview questions
pytorch-styleguide
An unofficial styleguide and best practices summary for PyTorch
BioSentVec
BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences
competitive-programming
Solutions to problems from various online judges / contest sites.
pytorch_notebooks
🔥 A collection of PyTorch notebooks for learning and practicing deep learning
Maurice-Bach-Notes
Notes on the classic book: The Design of the UNIX Operating System
algorithm-anthology
Alex's Anthology of Algorithms: Common Code for Contests in Concise C++ (A³C⁵) - Work in Progress!
RecSys_PyTorch
PyTorch implementations of Top-N recommendation, collaborative filtering recommenders.
codeforces-diary
Get the list of all questions you attempted on a particular date on codeforces, along with your account stats.
blazingmq-sdk-python
Python SDK for BlazingMQ, a modern high-performance open source message queuing system.
HurtfulWords
Quantifying biases in BERT embeddings pretrained on MIMIC-III clinical notes
Visual-Question-Answering-in-Medical-Domain
VQA is a multidisciplinary problem which combines two modalities: text and image. It requires computer vision and NLP techniques (probably, reasoning techniques too). The task is to answer a question correctly, where the question is accompanied by an image on which it is based.
medical_vqa
Visual Question Answering in the Medical Domain
VQA-of-CT-and-MRI-in-deep-learning
A repository for Final Engineer Project 2018 - VQA Identifying MRI and CT images in deep-learning