TommyLitlle

22ASDRetina

3D-Reconstruction-with-Neural-Network

3D-ResNets-PyTorch

3D ResNets for Action Recognition (CVPR 2018)

A-Novel-Deep-Neural-Network-Model-for-Multi-Label-Chronic-Disease-Prediction

deep learning for multi-disease prediction

AS-OCT-AFSNet

CVPR2021-Papers-with-Code

CVPR 2021 论文和开源项目合集

ECG

EPCANet

GraphSleepNet

GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification

msdesis

MSDESIS: Multi-task stereo disparity estimation and surgical instrument segmentation

TommyLitlle/AS-OCT-AFSNet

TommyLitlle/EPCANet

TommyLitlle/msdesis

MSDESIS: Multi-task stereo disparity estimation and surgical instrument segmentation

TommyLitlle/22ASDRetina

TommyLitlle/ABIDE_Classification_DLModel

TommyLitlle/ACPL

Code for "ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification" [CVPR 2022]

TommyLitlle/adapt-image-models

[ICLR'23] AIM: Adapting Image Models for Efficient Video Action Recognition

TommyLitlle/Adaptive-Region-Specific-Loss

Thanks for the work by: Chen Y, Yu L, Wang J Y, et al. Adaptive Region-Specific Loss for Improved Medical Image Segmentation.

TommyLitlle/AttentiveContrastiveLearningNetwork

Code Release for Attentive Contrastive Learning Network for Fine Grained Visual Classification

TommyLitlle/BRBS

Official Implementation for BRBS for few-shot medical image segmentation

TommyLitlle/convmixer

Implementation of ConvMixer for "Patches Are All You Need? 🤷"

TommyLitlle/deep-learning-medical-app

MSc AI Group Project Imperial College London. Created a medical web-application, easily deployable using Docker, for clinicians to upload MRI scans of bowel system and recieve a diagnosis from a ResNet Model.

TommyLitlle/deeplensnet

TommyLitlle/e2ec

E2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance Segmentation

TommyLitlle/External-Attention-pytorch

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

TommyLitlle/fastMRI

A large-scale dataset of both raw MRI measurements and clinical MRI images.

TommyLitlle/fewshot-finetuning

This repository contains a framework for building novel adapters and few-shots learning strategies for fine-tuning foundational models in medical image segmentation of volumetric data.

TommyLitlle/GENet-Res50

Implementation of Gather-Excite Network based on Mindspore and pytorch

TommyLitlle/LCRNet

TommyLitlle/LongTailCXR

[DALI 2022] "Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study" by Gregory Holste, Song Wang, Ziyu Jiang, Thomas C. Shen, Ronald M. Summers, Yifan Peng, and Zhangyang Wang

TommyLitlle/ml-agents

Unity Machine Learning Agents Toolkit

TommyLitlle/RCRNet

TommyLitlle/RETFound_MAE

RETFound - A foundation model for retinal image

TommyLitlle/SegNeXt

Official Pytorch implementations for "SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation" (NeurIPS 2022)

TommyLitlle/simplerecon

[ECCV 2022] SimpleRecon: 3D Reconstruction Without 3D Convolutions

TommyLitlle/SoundCLR

Implementation for "SoundCLR: Contrastive Learning of Representations For Improved Environmental Sound Classification," in pytorch.

TommyLitlle/stable-diffusion

TommyLitlle/SupContrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

TommyLitlle/TopFormer

TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation, CVPR2022

TommyLitlle/UniFormer

[ICLR2022] official implementation of UniFormer