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Md Siyam Sajeeb Khan's Projects

aenet icon aenet

AENet: audio feature extraction

alstms icon alstms

Codes for paper of "Attention-based LSTM with Semantic Consistency for Videos Captioning "

awesome-audio-visual icon awesome-audio-visual

A curated list of different papers and datasets in various areas of audio-visual processing

bmt icon bmt

Source code for "Bi-modal Transformer for Dense Video Captioning" (BMVC 2020)

covid19-korea icon covid19-korea

Public line list and summaries of the COVID-19 outbreak in South Korea

cpg icon cpg

Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen, "Compacting, Picking and Growing for Unforgetting Continual Learning," Thirty-third Conference on Neural Information Processing Systems, NeurIPS 2019

cql icon cql

Code for conservative Q-learning

decision-transformer icon decision-transformer

Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

deeplidar icon deeplidar

Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image

dfusenet icon dfusenet

ITSC 2019 | This is the accompanying code repository for our paper "DFuseNet: Deep Fusion of RGB and Sparse Depth Information for Image Guided Dense Depth Completion" | PyTorch, Python 3

football_analytics icon football_analytics

⚽📊 A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.

gr_football_analytics icon gr_football_analytics

Code repository for the Guided Research Project on Sports Analytics at TUM for Winter 2021-22

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

ig65m-pytorch icon ig65m-pytorch

PyTorch 3D video classification models pre-trained on 65 million Instagram videos

imitation icon imitation

Clean PyTorch implementations of imitation and reward learning algorithms

iperceive icon iperceive

Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021

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