Skip to content
View weew2000's full-sized avatar

Block or report weew2000

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Beta Lists are currently in beta. Share feedback and report bugs.
Showing results

Robust Speech Recognition via Large-Scale Weak Supervision

Python 69,032 8,124 Updated Sep 30, 2024

Examples in the MLX framework

Python 5,964 847 Updated Oct 8, 2024

A Tensorflow 2.0 implementation of TabNet.

Python 238 55 Updated Apr 27, 2023
Python 39 3 Updated Oct 4, 2023

Code for NeurIPS 2020 article "Contrastive learning of global and local features for medical image segmentation with limited annotations"

Python 175 38 Updated Jul 12, 2021

Deep Learning for Computer Vision 深度學習於電腦視覺 by Frank Wang 王鈺強

Python 21 2 Updated Jun 30, 2024

Machine learning from scratch

Jupyter Notebook 1,022 50 Updated Sep 1, 2024

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

Python 2,160 385 Updated Jul 4, 2024

Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"

Python 428 59 Updated Sep 6, 2023

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

Python 1,339 174 Updated Oct 5, 2024

GraphEmbedding and Graph Neural Network

Jupyter Notebook 21 18 Updated Dec 7, 2020

Representation learning on large graphs using stochastic graph convolutions.

Python 3,411 841 Updated Aug 4, 2024
Python 134 30 Updated Mar 25, 2021

This repository contains the source code for Grape.

Python 6 1 Updated Sep 15, 2023
Python 271 43 Updated Nov 2, 2023

Generative AI for UAV Navigation in Natural Environments. This project utilizes GAN and Diffusion models to generate realistic images of roads and rivers from UAV perspectives.

Python 3 Updated Jul 14, 2024