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annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

awesome-deep-vision

A curated list of deep learning resources for computer vision

coala

coala provides a unified command-line interface for linting and fixing all your code, regardless of the programming languages you use.

colorize

Builds a model to automatically color an image.

cool_py

It builds a translator that converts COOL language to python.

crnn_indic

cs231n

cvxopt

This repository contains the codes written for Convex Optimization course

deep-text-recognition-benchmark

Text recognition (optical character recognition) with deep learning methods.

demoapp

Web apps for information retreival from handwritten collections and data collection tool

dining_philosophers

dl_exp

Random DL related experiments

htrdb

image-captioning

indic-htr

Handwriting recognition for various Indic scripts using deep learning(STN, CNN, LSTM)

information_retrieval

its_feedback

This repository contains code for a Course Feedback System which requests for feedback from students and analyses the overall feedback to display information through graphs.

language-identifier

readme

sanny26.github.io

San's Portfolio

santhoshini_201401040

This is the core directory structure (assignments, projects, feedback and more) of SEFP course at IIIT-Sri City, http://researchweb.iiit.ac.in/~sridhar_ch/courses/sefp/home.html

satrn

Official Tensorflow Implementation of SATRN (CVPR Workshop WTDDLE 2020)

sbir

A demo of sketch based image retrieval system. We exploit common feature descriptors between similar sketches and images.

semantic_web

This repo is for the SEFP Project. It is a Django based web app that creates semantic web forms using pre-existing ontologies from OWL files

skill-sample-python-petmatch

Pet Match matches the user with a pet. When launched, this Alexa Skill will prompt the user for the information it needs to determine a match. Once all of the required information is collected, it will send the data to an external web service which processes the data and returns the match. Through this workshop, you will learn how to use advanced Alexa Skills Kit features to create and configure an Alexa Skill and AWS Lambda.

styleguide

Style guides for Google-originated open-source projects

uci-secom

Classification model for a semiconductor manufacturing dataset

udl_assignments

Understanding Deep Learning - Simon J.D. Prince

vision-project

Image deblurring using directional filtering.

weather

Sri City Smart Weather Website