Ayush Thakur's repositories
3d-photo-inpainting
[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting
wandb2kaggle
Automatically upload the model saved as W&B Artifact to Kaggle Dataset.
interpretabilitycnn
Custom Keras Callbacks for Feature Visualization, Class Activation Map, Grad-CAM
minimal-mlops
This repository is for the GDG Cloud Kolkata workshop on 27th August, 2022. Learn about minimal MLOps required for any ML practitioner. It uses Weights and Biases.
Awesome_DL_Links
Collection of awesome DL/Math resources to feel enlightened!
Explore-NFNet
This repository contains notebooks exploring various aspects of High-Performance Large-Scale Image RecognitionWithout Normalization (https://arxiv.org/abs/2102.06171).)
myDLexperiments
This will contain my basic Deep Learning experiments. It's just a pool.
mmclassification
OpenMMLab Image Classification Toolbox and Benchmark
mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
wandb_replit
A simple Replit to train a classifier using PyTorch on a toy dataset with baked in goodness of Weights and Biases.
happywhale_kaggle
Repository of my experiments for the Kaggle competition: Happywhale - Whale and Dolphin Identification
idinvert_pytorch
ECCV'20 paper `In-Domain GAN Inversion for Real Image Editing` code (PyTorch version)
dalle-mini
DALL·E Mini - Generate images from a text prompt
how-do-vits-work
(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"
Image-Super-Resolution-via-Iterative-Refinement
Unoffical implementation about Image Super-Resolution via Iterative Refinement by Pytorch
Neural-Scene-Flow-Fields
PyTorch implementation of paper "Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes"
portfolio
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