Arpit Bansal (arpitbansal297)

arpitbansal297

Geek Repo

Company:University of Maryland, College Park

Location:College Park

Home Page:https://arpitbansal297.github.io/

Twitter:@arpitbansal297

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Arpit Bansal's repositories

Cold-Diffusion-Models

Official implementation of Cold-Diffusion for different transformations in pytorch.

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Watermark-Robustness-Toolbox

The official implementation of the IEEE S&P`22 paper "SoK: How Robust is Deep Neural Network Image Classification Watermarking".

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denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

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arpitbansal297.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

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Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

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datasets

🎁 5,400,000+ Unsplash images made available for research and machine learning

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cl1-hw

Homework assignments for Computational Linguistics I

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deep-thinking-mazes-mult

A centralized place for deep thinking code and experiments

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DiffuseVAE

Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"

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GLUE-baselines

[DEPRECATED] Repo for exploring multi-task learning approaches to learning sentence representations

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Grounded-Segment-Anything

Grounded-SAM: Marrying Grounding-DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

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Inpaint-Anything

Inpaint anything using Segment Anything and inpainting models.

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M2m

Code for the paper "M2m: Imbalanced Classification via Major-to-minor Translation" (CVPR 2020)

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meta-weight-net

NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

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pytorch_diffusion

PyTorch reimplementation of Diffusion Models

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recurrent-relational-networks

Code accompanying the paper Recurrent Relational Networks for Complex Relational Reasoning https://arxiv.org/abs/1711.08028

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rtdl

The `rtdl` library + The official implementation of the paper "Revisiting Deep Learning Models for Tabular Data"

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Score-Entropy-Discrete-Diffusion

Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)

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