mingquzheye's repositories
awesome-matlab
A curated list of awesome Matlab frameworks, libraries and software.
Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
progressive_growing_of_gans_tensorflow
Tensorflow implementation of PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION
awesome-papers-fewshot
Collection for Few-shot Learning
BilinearGAN_for_LBIE
The implementation of our paper: Bilinear Representation for Language-Based Image Editing using Conditional Generative Adversarial Networks (ICASSP2019)
DALLE2-pytorch
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
DenoisingDiffusionProbabilityModel-ddpm-
This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.
Diffusion-based-Fluid-Super-resolution
PyTorch implementation of the diffusion-based method for CFD data super-resolution proposed in the paper "A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction".
DisC-Diff
【MICCAI 2023, Early accept】DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-Resolution
faster-rcnn-tf2
这是一个faster-rcnn的tensorflow2实现的库，可以利用voc数据集格式的数据进行训练。
Few-Shot-Learning
Paper implementation of OpenAI's meta-learning algorithm Reptile
Image-Super-Resolution-via-Iterative-Refinement
Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch
Keras-FewShotLearning
Some State-of-the-Art few shot learning algorithms in tensorflow 2
learning-to-learn
Implementing and exploring MAML, FOMAML, and direct pre-training on sinusoid regression tasks.
mnistGANs
Some implementations of GAN.
progressive_growing_of_gans
Progressive Growing of GANs for Improved Quality, Stability, and Variation
pyphysim
Simulation of Digital Communication (physical layer) in Python.
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
pywim2
a python version of WINNER II Channel Model
Quantized_Channel_Estimation
Implementation of the Paper "Channel Estimation for Quantized Systems based on Conditionally Gaussian Latent Models".
score-based-channels
Source code for paper "MIMO Channel Estimation using Score-Based Generative Models", published in IEEE Transactions on Wireless Communications.
score_sde
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Semi-supervised-learning
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
SR-DDPM
Denoising diffusion probabilistic model for low level vision task. Developing a novel DM for super resolution task; later to be extended for general vision tasks such as deblurring, dehazing, rain drop removal, inpainting, etc.
super-resolution
This project shows Image Super Resolution using Deep Learning . Seven models are implemented SRCNN, FSRCNN,ESPCN, RDN, RFDN, Autoencoder and ESRGAN.
tensorflow
An Open Source Machine Learning Framework for Everyone