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academic-notes

latex format of my academic notes.

action-anticipation-losses

Implements the loss used in A. Furnari, S. Battiato, G. M. Farinella (2018). Leveraging Uncertainty to Rethink Loss Functions and Evaluation Measures for Egocentric Action Anticipation . In International Workshop on Egocentric Perception, Interaction and Computing (EPIC) in conjunction with ECCV .

annotations

:fork_and_knife: Annotations for the EPIC Kitchens Dataset.

awesome-computer-vision

A curated list of awesome computer vision resources

azadi-stadium-s-football-pitch-model

Azadi Stadium's Football Pitch Model

classify-text

"20 Newsgroups" text classification with python

corpus-builder

builds a persian corpus from text files generate in Crawler project. Format: CoNLL

crawler

simple crawler that fetches all the http://mehrnews.ir's news

deep-relative-attributes-paper

Deep Relative Attribute Paper

fandak

:bangbang: (Experimental) A Framework for ML Research Using PyTorch :fire:

fast-bird-part-localization

Code for Fast Bird Part Localization (FGVC 2015)

fgvc2015-paper

FGVC 2015 Paper

fifa

Official Implementation for "FIFA: Fast Inference Approximation for Action Segmentation"

ghiaseddin

Author's implementation of the paper "Deep Relative Attributes" (ACCV 2016)

gitignore

A collection of useful .gitignore templates

iclr.github.io

kinetics_i3d_pytorch

Inflated i3d network with inception backbone, weights transfered from tensorflow

learn-about-things

mahv

Criminisi's Image Inpainting Algorithm (Don't use this)

metrics

Machine learning metrics for distributed, scalable PyTorch applications.

misc

models

Models and examples built with TensorFlow

ms-tcn

mucon

Official Implementation for "Fast Weakly Supervised Action Segmentation Using Mutual Consistency" - TPAMI 2021

neuralnetwork-viterbi

omgh

عمق

paper-notes

yet another paper notes repository

parametric-camera-projection-matrix

Parametric Camera Projection Matrix - Pinhole Camera

pitch-annotator

Annotate sports pitch lines in images

pykov

python implementation of inference and learning in Hidden Markov Models (HMM)