Code for running RFdiffusion

Monocular depth estimation from a single image

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

Dataset Condensation (ICLR21 and ICML21)

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

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

An All-MLP solution for Vision, from Google AI

A Windows/macOS GUI based on Clash

论文里可以用到的实验图示例

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

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

keras implement of transformers for humans

Dataset Distillation

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

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

Tensorflow implementation of monocular Residual Matching (monoResMatch) network.

unet for image segmentation

Repo about neural networks for images handling

My first PyTorch Neural Network trained on FashionMNIST dataset.

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)