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academic-cv-template

CV to use for PhD position applications

background-subtraction-library

C++ background substraction library

beard

Bibliographic Entity Automatic Recognition and Disambiguation

capsnet

Capsule Networks for Semantic Segmentation

contact_card_flutter

Just another personal contact card app

conv-encdec-pytorch

Convolutional Encoder Decoder network based on the SegNet architecture for unsupervised feature learning

cs231n

Convolutional Neural Networks for Visual Recognition

dlwithtf

Labs for the cognitiveclass.ai course Deep Learning with TensorFlow

endovis18

This repository contains our solution for EndoVis 2018 Robotic Scene Segmentation Challenge part of MICCAI 2018

exporters

Export Hugging Face models to Core ML and TensorFlow Lite

factor-analysis

Factor Analysis in Python

fastai

The fastai deep learning library, plus lessons and and tutorials

gans_for_whatever

Experiments with Generative Adversarial Networks (GANs)

gst-printnvdsmeta

GStreamer plugin that prints Nvidia Deepstream metadata to terminal

info

All the general information you'll ever need about pursuing AI in Pakistan!

inspire

cdt 2018 ML inspire project

inspire-classifier

INSPIRE text classification microservice

inspire-core-classifier

Core Predictore for INSPIRE articles

inspire-core-guesser

A Keras model to predict if a record in INSPIRE should be CORE, Non-CORE, or Rejected based on its titles and abstracts.

inspire-dojson

INSPIRE-specific rules to transform from MARCXML to JSON and back.

inspire-next

The next version of INSPIRE

kittiseg

A Kitti Road Segmentation model implemented in tensorflow.

learning_js_stuff

magic_8_ball_flutter

Ask a yes-no question and let a random number generator decide

matrixcapsules

Matrix Capsules with EM Routing for Semantic Segmentation - PyTorch Implementation

minimal_blog_react_app

mit-6.s191-exercises

Exercises for MIT 6.S191 Introduction to Deep Learning course 2021

my-latex-cv

This is my CV template designed in LaTeX

natural-language-processing

Resources for "Natural Language Processing" Coursera course.

notes-and-references

Notes and quick references