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DETR: End-to-End Object Detection with Transformers
A new method that views object detection as a direct set prediction problem.
object-detection panoptic-segmentation transformers computer-vision
VirTex: Learning Visual Representations from Textual Annotations
We train CNN+Transformer from scratch from COCO, transfer the CNN to 6 downstream vision tasks, and exceed ImageNet features despite using 10x fewer ...
convolutional-neural-networks transformers coco visual-representations
A Python framework for Automated Machine Learning (AutoML), hyperparameter tunning and program synthesis in general.
automl python machine-learning code
KD Lib
A PyTorch library to easily facilitate knowledge distillation for custom deep learning models.
knowledge-distillation model-compression pytorch code
T5 fine-tuning
A colab notebook to showcase how to fine-tune T5 model on various NLP tasks (especially non text-2-text tasks with text-2-text approach)
natural-language-processing transformers text-2-text t5
A Comprehensive Survey of Neural Architecture Search
An overview of the characteristics of the earliest NAS algorithms, summarizing the problems in these early NAS algorithms, and then giving solutions.
neural-architecture-search optimization survey research
Self-Supervised Scene De-occlusion
We investigate the problem of scene de-occlusion, which aims to recover the underlying occlusion ordering and complete the invisible parts of occluded ...
self-supervised-learning computer-vision de-occlusion image-generation
Annotated Research Papers
Finding papers hard to read? Read the annotated version with me
paper code research
Curated papers & articles on DS & ML in production
Learn how organizations & business solved machine learning problems, including problem statement, research, methodology, and results.
data-science machine-learning production paper
BLINK: Better entity LINKing
Entity Linking python library that uses Wikipedia as the target knowledge base.
named-entity-recognition wikification natural-language-processing code
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