zfgao66

deeplearning-mpo

Replace FC2, LeNet-5, VGG, Resnet, Densenet's full-connected layers with MPO

OPF

Pytorch implementation of paper: Small Pre-trained Language Models Can be Fine-tuned as Large Models via Over-Parameterization.

MatAltMag

The pytorch implement of papar《AI-accelerated Discovery of Altermagnetic Materials》

academic-budget-bert

Repository containing code for "How to Train BERT with an Academic Budget" paper

budget-bert

budget pre-train bert and albert

DatasetCondensation

Dataset Condensation (ICLR21 and ICML21)

homepage

Satellite-Segmentation

dataset-distillation

Dataset Distillation

keras-bert

Implementation of BERT that could load official pre-trained models for feature extraction and prediction

bert4keras

keras implement of transformers for humans

bts

From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

clash_for_windows_pkg

A Windows/macOS GUI based on Clash

CNN-with-FashionMNIST

My first PyTorch Neural Network trained on FashionMNIST dataset.

grover

This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data

hosts

镜像：https://coding.net/u/scaffrey/p/hosts/git

ImageNet

This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)

IMDB-MPO

mlp-mixer-pytorch

An All-MLP solution for Vision, from Google AI

monodepth2

Monocular depth estimation from a single image

monoResMatch-Tensorflow

Tensorflow implementation of monocular Residual Matching (monoResMatch) network.

MPOP

plot_demo

论文里可以用到的实验图示例

RFdiffusion

Code for running RFdiffusion

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

TT_RNN

unet

unet for image segmentation

vision_networks

Repo about neural networks for images handling

vision_transformer

x-transformers

A simple but complete full-attention transformer with a set of promising experimental features from various papers