Harry Xu's repositories
AI-Scientist
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
tensorflow
An Open Source Machine Learning Framework for Everyone
dlwpt-code-dl-with-pytorch-book
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
transformer
Transformer: PyTorch Implementation of "Attention Is All You Need"
INTR
This is an official implementation for [ICLR'24] INTR: Interpretable Transformer for Fine-grained Image Classification.
introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
detr
End-to-End Object Detection with Transformers
Transformer-in-Computer-Vision
A paper list of some recent Transformer-based CV works.
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. (official)
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
vision_transformer
official code
pytorch-tutorial-for-dl-researchers
PyTorch Tutorial for Deep Learning Researchers
TransMIL
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification
tensor2tensor
Transformer architecture (Official)
Interpretable-Machine-Learning-with-Python
Interpretable Machine Learning with Python, published by Packt
awesome-transformers-in-medical-imaging
A collection of resources on applications of Transformers in Medical Imaging.
interpretable_machine_learning_with_python
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
Flower-Image-Classification-using-Vision-Transformer
The repository contains the code for the flower image classification using Vision Transformer in the TensorFlow
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。
breast_cancer_classifier
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
pytorch-vit
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
interpretable-ml-covid-19
Interpretable Machine Learning for COVID-19
D2L-Slides
Slides for Dive into Deep Learning book
cu-comp478-lab
Lab materials for Winter 2021 COMP478 Image Processing course.
must-read-papers-for-ml
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
awesome-deep-learning-papers
The most cited deep learning papers