Ayushman Buragohain's repositories
SIIM-COVID19-DETECTION-KAGGLE
5th place solution for SIIM-FISABIO-RSNA COVID-19 Detection Challenge
pytorch_retinanet
A PyTorch implementation of RetinaNet with `ResNet` backbone
kgl-pogchamps-3-corn
It's Corn (PogChamps #3): Corn Seed Image Classification
awesome-stable-diffusion
Curated list of awesome resources for the Stable Diffusion AI Model.
aws-doc-sdk-examples
Welcome to the AWS Code Examples Repository. This repo contains code examples used in the AWS documentation, AWS SDK Developer Guides, and more. For more information, see the Readme.md file below.
CozyTile
A Cozy Qtile rice
CTGAN
Conditional GAN for generating synthetic tabular data.
dice_loss_for_NLP
The repo contains the code of the ACL2020 paper `Dice Loss for Data-imbalanced NLP Tasks`
Dotfiles
My Config Files for starship, qtile, rofi, fish, etc. and a few bash scripts for installing Arch and setting up the dotfiles on Arch and Ubuntu.
efficientnet
Implementation of EfficientNet model. Keras and TensorFlow Keras.
gitignore
A collection of useful .gitignore templates
kaggle-feedback-prize-2021
Solution of Kaggle competition: Feedback Prize - Evaluating Student Writing
kaggle-g2net-public
2nd place solution
kaggle_commonlit
This repository contains the solution write-up and the code corresponding to our Kaggle Commonlit's final solution
mmcv
OpenMMLab Computer Vision Foundation
ParlAI
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
pytorch-toolbelt
PyTorch extensions for fast R&D prototyping and Kaggle farming
rpunct
📝An easy-to-use package to restore punctuation of the text.
sd-akashic
A compendium of informations regarding Stable Diffusion (SD)
sd-webui-roop
roop extension for StableDiffusion web-ui
sklearn-classification
Data Science Notebook on a Classification Task, using sklearn and Tensorflow.
st-chat
Streamlit Component, for a Chatbot UI
Swin-Transformer-TF
Tensorflow implementation of Swin Transformer model.
torchvision
Datasets, Transforms and Models specific to Computer Vision