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academic-budget-bert

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

bert4keras

keras implement of transformers for humans

bts

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

budget-bert

budget pre-train bert and albert

clash_for_windows_pkg

A Windows/macOS GUI based on Clash

cnn-with-fashionmnist

My first PyTorch Neural Network trained on FashionMNIST dataset.

dataset-distillation

Dataset Distillation

datasetcondensation

Dataset Condensation (ICLR21 and ICML21)

deep_residual_unet

Keras implementation of Road Extraction by Deep Residual U-Net article

deeplearning-mpo

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

grover

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

homepage

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)

imagenet32_scripts

Scripts for Imagenet 32 dataset

imdb-mpo

keras-bert

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

mataltmag

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

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

opf

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

plot_demo

论文里可以用到的实验图示例

rfdiffusion

Code for running RFdiffusion

satellite-segmentation

tensornet

transformers

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

tt_rnn

unet

unet for image segmentation