Ali Gholami (gholomia)

gholomia

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Organizations
AUT-CEIT
AUTSC
fandogh
Modiryar
Morph
MorphLab

Ali Gholami's repositories

Freeman

The digital design of computer systems course project, named freeman with respect to the Ross Freeman, the inventor of FPGA, under supervision of Dr. M. Saheb Zamani.

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Computational-Intelligence

Computational Intelligence coursework and assignments under the supervision of Dr. Farzaneh Abdollahi.

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3DL

Personal Repository to Practice 3D Vision and Language Concepts.

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awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

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awesome-visual-question-answering

A curated list of Visual Question Answering(VQA)(Image/Video Question Answering),Visual Question Generation ,Visual Dialog ,Visual Commonsense Reasoning and related area.

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awesome-vqa

Visual Q&A reading list

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datasets

A collection of datasets ready to use with TensorFlow

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gcalcli

Google Calendar Command Line Interface

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github-do-not-ban-us

Github do not ban us from open source world :iran:

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grounded-video-description

Video Grounding and Captioning

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mcan-vqa

Deep Modular Co-Attention Networks for Visual Question Answering

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pythia

A modular framework for Visual Question Answering research by the FAIR A-STAR team

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reinforcement-learning

Minimal and Clean Reinforcement Learning Examples

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RLBase

My Reinforcement Learning Practice Code Base.

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SalBCE

SalGAN implementation with pytorch trained on [DHF1K, LEDOV, SALICON] using [BCE, Adversarial] loss.

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saliency-salgan-2017

SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

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sam

Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model. IEEE Transactions on Image Processing (2018)

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scikit-fuzzy

Fuzzy Logic SciKit (Toolkit for SciPy)

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spinningup

An educational resource to help anyone learn deep reinforcement learning.

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startup-checklist

A checklist for incorporation so you can get back to building your product, fundraising, etc.

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VQA2.0-Recent-Approachs-2018.pytorch

A pytroch reimplementation of "Bilinear Attention Network", "Intra- and Inter-modality Attention", "Learning Conditioned Graph Structures", "Learning to count object", "Bottom-up top-down" for Visual Question Answering 2.0

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vue-material

Material design for Vue.js

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