vinayakarannil

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

mmdetection

OpenMMLab Detection Toolbox and Benchmark

shap

A game theoretic approach to explain the output of any machine learning model.

albumentations

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

detr

End-to-End Object Detection with Transformers

segmentation_models.pytorch

Semantic segmentation models with pretrained backbones. PyTorch.

EfficientNet-PyTorch

A PyTorch implementation of EfficientNet

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

simpletransformers

Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

SNIPER

SNIPER / AutoFocus is an efficient multi-scale object detection training / inference algorithm

soft-eng-interview-prep

Everything you need to know for a Software Engineering interview

higher

higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.

leetcode-python

Leetcode Python Solution and Explanation. Also a Guide to Prepare for Software Engineer Interview.

alias-free-gan

Alias-Free GAN project website and code

multilingual-t5

PubLayNet

xcit

Official code Cross-Covariance Image Transformer (XCiT)

HRNet-Object-Detection

Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h). This is an official implementation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

STCN

[NeurIPS 2021] Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation

copy-paste-aug

Copy-paste augmentation for segmentation and detection tasks

voc2coco

Convert VOC format XMLs to COCO format json

ERRNet

Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements (CVPR 2019)

Deep-adversarial-decomposition

Pytorch implementation of the paper: "A Unified Framework for Separating Superimposed Images", in CVPR 2020.

sagemaker-defect-detection

Detect Defects in Products from their Images using Amazon SageMaker

huggingface-vit-finetune

Finetune Google's pre-trained ViT models from HuggingFace's model hub.

rust-detection

Contains source for detecting metal corrosion using Machine learning

SGRRN

SGRRN - Official Pytorch Implementation

VIA2COCO

Convert VIA annotator's format to COCO format