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Google Research
High-Resolution Image Synthesis with Latent Diffusion Models
Automatic extraction of relevant features from time series:
李宏毅2021/2022/2023春季机器学习课程课件及作业
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation 🔥
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
A framework for data augmentation for 2D and 3D image classification and segmentation
Hands-On Graph Neural Networks Using Python, published by Packt
use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm
[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-…
AutoX is an efficient automl tool, which is mainly aimed at data mining tasks with tabular data.
Medical Diffusion: This repository contains the code to our paper Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image Synthesis
Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 ,Agents.
(ICCV 2021 Oral) CoaT: Co-Scale Conv-Attentional Image Transformers
Medical Image Registration
[CVPR 2021] Adaptive Consistency Regularization for Semi-Supervised Transfer Learning
Combinatorial prediction of therapeutic perturbations using causally-inspired neural networks
PyTorch Implementation of CausalFormer: An Interpretable Transformer for Temporal Causal Discovery
Second Training Course on Neural Modeling and Programming. 第二届神经计算建模及编程培训班.
A capstone project dedicated to leveraging Style GAN (Generative Adversarial Network) to generate Brain MRI images of different contrasts
Official code release for AAAI 2023 paper User-controllable Arbitrary Style Transfer via Entropy Regularization