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11122

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

awesome-transformer-attention

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

awesome-visual-transformer

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

convnext

Code release for ConvNeXt model

credit

deep-learning-resources

由淺入深的深度學習資源 Collection of deep learning materials for everyone

deepclustering

Methods and Implements of Deep Clustering

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

example

This is an example.

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

groundingdino

The official implementation of "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

hello-world

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1500+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1500+页)和视频链接

mobilefacenet_keras

This is a keras implementation of MobileFaceNets architecture as described in the paper "MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices"

mobilenetv3_keras

This is a keras implementation of MobileNetV3 architecture as described in the paper "Searching for MobileNetV3".

pmle_trans_dt

pmle_trans_ltrc

The Pseudo-Maximum Likelihood Estimators of Semiparametric Transformation model with Left-truncated and Right-censored data

pycontrast

PyTorch implementation of Contrastive Learning methods; List of awesome-contrastive-learning papers

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

swapdae

This is a simple modified Pytorch implementation of swap noise Denoising AutoEncoder for deep models on tabular data (Jahrer 2018).

tabnet_pytorch

tabular-dl-revisiting-models

The official implementation of the paper "Revisiting Deep Learning Models for Tabular Data" (NeurIPS 2021)

transformer_tf2

trcurrent_cure_trans_ee

fitst upload

vit_pytorch

This is a simple PyTorch implementation of Vision Transformer (ViT) described in the paper "An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale"

wangqiwen

homepage

weekly

科技爱好者周刊，每周五发布