Dinesh Daultani (dineshdaultani)

dineshdaultani

Geek Repo

Company:Woven Planet

Location:Tokyo, Japan

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

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Dinesh Daultani's starred repositories

Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

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bertviz

BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

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lit

The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.

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awesome-mlss

🤖 Machine Learning Summer School deadlines

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learn2learn

A PyTorch Library for Meta-learning Research

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ecco

Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).

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Academic-project-page-template

A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/

hls4ml

Machine learning on FPGAs using HLS

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pytorch-center-loss

Pytorch implementation of Center Loss

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Random-Erasing

Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST

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finn

Dataflow compiler for QNN inference on FPGAs

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Awesome-CVPR2024-Low-Level-Vision

A Collection of Papers and Codes in CVPR2023/2022 about low level vision

Cutout

2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552

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distill-sd

Segmind Distilled diffusion

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XNOR-Net-PyTorch

PyTorch Implementation of XNOR-Net

MNIST_center_loss_pytorch

A PyTorch implementation of center loss on MNIST

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DiffPure

A new adversarial purification method that uses the forward and reverse processes of diffusion models to remove adversarial perturbations.

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center-loss.pytorch

center loss for face recognition

face_recognition.pytorch

Deep Face Recognition in PyTorch

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openhls

PyTorch model to RTL flow for low latency inference

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ARNIQA

[WACV 2024 Oral] - ARNIQA: Learning Distortion Manifold for Image Quality Assessment

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DDA

Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"

Non-Local-Means

Python implementation of the Non Local Means algorithm for image denoising.

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ModelRatatouille

Recycling diverse models

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guided-filter-pytorch

PyTorch implementation of Guided Image Filtering

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bilateral_filter_Pytorch

The Pytorch Implementation of Bilateral Filter

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FusionDistill

[WACV 2024] Source code for "Consolidating separate degradations model via weights fusion and distillation".

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