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Name: Sagnik Majumder
Type: User
Company: University of Texas at Austin
Location: Austin, US
Name: Sagnik Majumder
Type: User
Company: University of Texas at Austin
Location: Austin, US
Code and datasets for 'Active Audio-Visual Separation of Dynamic Sound Sources' (ECCV 2022)
Pseudocode descriptions of the algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Architecture search using unsupervised learning with symmetric auto-encoders and QLearning in PyTorch
Music Reconstruction using Symmetric Auto Encoders (can be used for denoising also)
Final project in CS394R: Reinforcement Learning Theory and Practice at UT Austin
A curated list of different papers and datasets in various areas of audio-visual processing
Reading list for research topics in embodied vision
Basic PyTorch Implementation of 'Neural Architecture Search with Reinforcement Learning' (https://arxiv.org/abs/1611.01578)
Re-implementation of BiDAF(Bidirectional Attention Flow for Machine Comprehension, Minjoon Seo et al., ICLR 2017) on PyTorch.
Caffe: a fast open framework for deep learning.
Open-source code for Q-learning based architecture search for our paper: Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification with the COncrete DEfect BRidge IMage Dataset
[CVPR 2024] Code and datasets for 'Learning Spatial Features from Audio-Visual Correspondence in Egocentric Videos'
Face Recognition in Caffe using different VGGNet architectures on ColorFeret and LFW datasets
Code and datasets for 'Few-Shot Audio-Visual Learning of Environment Acoustics' (NeurIPS 2022)
A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.
A flexible, high-performance 3D simulator for Embodied AI research.
Official Code for 'Handwritten Digit Recognition 'Handwritten Digit Recognition by Elastic Matching' (http://www.jcomputers.us/index.php?m=content&c=index&a=show&catid=201&id=2862)
Library for Meta-Recognition and Weibull based calibration of SVM data.
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
Implementation of MetaQNN (https://arxiv.org/abs/1611.02167, https://github.com/bowenbaker/metaqnn.git) with Additions and Modifications in PyTorch for Image Classification
Implementation of MetaQNN (https://arxiv.org/abs/1611.02167, https://github.com/bowenbaker/metaqnn.git) with Additions and Modifications in PyTorch for Image Generation with GAN where the Discriminator network is fixed and same as that in the infoGAN paper (https://arxiv.org/abs/1606.03657)
Implementation of MetaQNN (https://arxiv.org/abs/1611.02167, https://github.com/bowenbaker/metaqnn.git) with Additions and Modifications in PyTorch for Image Generation with Asymmetric Variational Autoencoders
MiniWoB++: a web interaction benchmark for reinforcement learning
Code and datasets for 'Move2Hear: Active Audio-Visual Source Separation' (ICCV 2021)
A flexible source separation library in Python
This repository contains code for our publication "Occupancy Anticipation for Efficient Exploration and Navigation" in ECCV 2020.
Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition
An introduction to programming language theory in Agda
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.