Pinned Repositories
3d-lmnet
Repository for 3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image [BMVC 2018]
3D-Machine-Learning
A resource repository for 3D machine learning
3D_generation
AA-RMVSNet
Code for AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo Network (ICCV2021).
AI-News
Summarize the paper and code in AI(Semantic Segmentation, Medical Segmentation,REID,Super-Resolution,Registration,CVPR,ECCV,ICCV,AAAI,MICCAI)
ANN2SNN_SRP
ANN2SNNConversion_SNM_NeuronNorm
Pytorch Implementation of Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion, IJCAI 2022
IF_toolbox
Fit stochastic IF model with spike-triggered current eta and moving threshold gamma as described in: "Parameter extraction and classification of three cortical neuron types reveals two distinct adaptation mechanisms"
NEUROFIT
NEUROFIT is a program that fits Hodgkin-Huxley models to voltage-clamp data.
positional_cl
code for paper Positional Contrastive Learning for Volumetric Medical Image Segmentation
tp030ny's Repositories
tp030ny/IF_toolbox
Fit stochastic IF model with spike-triggered current eta and moving threshold gamma as described in: "Parameter extraction and classification of three cortical neuron types reveals two distinct adaptation mechanisms"
tp030ny/NEUROFIT
NEUROFIT is a program that fits Hodgkin-Huxley models to voltage-clamp data.
tp030ny/3d-lmnet
Repository for 3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image [BMVC 2018]
tp030ny/3D-Machine-Learning
A resource repository for 3D machine learning
tp030ny/3D_generation
tp030ny/AI-News
Summarize the paper and code in AI(Semantic Segmentation, Medical Segmentation,REID,Super-Resolution,Registration,CVPR,ECCV,ICCV,AAAI,MICCAI)
tp030ny/awesome-self-supervised-learning
A curated list of awesome Self-Supervised methods
tp030ny/BlendedMVS
BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks
tp030ny/COSNet
See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks (CVPR19)
tp030ny/DANet
Dual Attention Network for Scene Segmentation (CVPR2019)
tp030ny/few-shot-segmentation
PyTorch implementation of 'Squeeze and Excite' Guided Few Shot Segmentation of Volumetric Scans
tp030ny/fitneuron
Neuron simulation and fitting code
tp030ny/GIF-toolbox
toolbox to fit the Generalized-Integrate-and-Fire model as described in: "Automated High-Throughput Characterization of Single Neurons by Means of Simplified Spiking Models"
tp030ny/GL3D
GL3D (Geometric Learning with 3D Reconstruction): a large-scale database created for 3D reconstruction and geometry-related learning problems
tp030ny/learning3d
This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).
tp030ny/neuron-nonlinear-model-predict
Accurate and robust fitting for electrophysiological recordings of single neurons to Hodgkin-Huxley nonlinear models
tp030ny/nn-additional-losses
A collection of losses not part of pytorch standard library particularly useful for segmentation task
tp030ny/nn-common-modules
Pytorch Implementations of Common modules, blocks and losses for CNNs specifically for segmentation models
tp030ny/Non-Local-NN-Pytorch
Pyorch implementation of Non-Local Neural Networks (https://arxiv.org/pdf/1711.07971.pdf)
tp030ny/One-Shot-Object-Detection
Implementation of One-Shot Object Detection with Co-Attention and Co-Excitation in Pytorch
tp030ny/pcn
Code for PCN: Point Completion Network in 3DV'18 (Oral)
tp030ny/Pixel2Mesh
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images. In ECCV2018.
tp030ny/playing-with-simpleitk
Playing with SimpleITK and nnU-Net to process data from the CHAOS challenge on Google Colab.
tp030ny/PointSetGeneration
Code for ``A Point Set Generation Network for 3D Object Reconstruction from a Single Image''
tp030ny/Self-supervised-Fewshot-Medical-Image-Segmentation
[ECCV'20] Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation (code&data-processing pipeline)
tp030ny/SOTA-MedSeg
SOTA medical image segmentation methods based on various challenges
tp030ny/squeeze_and_excitation
PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks
tp030ny/template_ffd
Code for paper "Learning Free-Form Deformations for 3D Object Reconstruction"
tp030ny/TengineKit
TengineKit is an easy-to-integrate face detection and face landmarks SDK. At present, it can run on various mobile phones at very low latency.
tp030ny/XX-Net
a web proxy tool