Nived P A (nivedwho)

nivedwho

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Location:New Delhi, Delhi

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

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Nived P A's repositories

GSoC-2021-TF-GAN

GSoC `21 TF-GAN project with TensorFlow.

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Document-Scanner-Python

A Document Scanner application made using Open CV and Python

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AadharMasking

Python program to mask Aadhar Numbers present in an image.

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cog-sdxl-lcm

Stable Diffusion XL training and inference with LCM LoRA as a cog model

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contrastive-unpaired-translation

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

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Face_Detector

A simple python to detect faces using a HAAR classifier and then saving each face locally to your system

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gan

Tooling for GANs in TensorFlow

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GAN-Tutorial

Simple Implementation of many GAN models with PyTorch.

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GSOC

Repository for Google Summer of Code 2019 https://summerofcode.withgoogle.com/projects/#4662790671826944

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hugo-notepadium

a fast gohugo theme, 100% JavaScript-free.

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machine-learning-curriculum

:computer: Make machines learn so that you don't have to struggle to program them; The ultimate list

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Mastering-OpenCV-4-with-Python

Mastering OpenCV 4 with Python, published by Packt

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pixel2style2pixel

Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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retinaface

RetinaFace: Deep Face Detection Library in TensorFlow for Python

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retinaface-tf2

RetinaFace (Single-stage Dense Face Localisation in the Wild, 2019) implemented (ResNet50, MobileNetV2 trained on single GPU) in Tensorflow 2.0+. This is an unofficial implementation. With Colab.

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SinGAN

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

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SRGAN-Keras-Implementation

Photo Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras

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vision

Datasets, Transforms and Models specific to Computer Vision

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