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Nicholas Ho's Projects

plotly.py icon plotly.py

An open-source, interactive graphing library for Python (includes Plotly Express) :sparkles:

pointnet2 icon pointnet2

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

prednet icon prednet

Code and models accompanying "Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning"

pretrained-models.pytorch icon pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

proxylessnas icon proxylessnas

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware. https://arxiv.org/abs/1812.00332

pulmonary-nodules-maskrcnn icon pulmonary-nodules-maskrcnn

Mask R-CNN for Pulmonary Nodules Diagnosis, using TensorFlow 天池医疗AI大赛:Mask R-CNN肺部结节智能检测(Segmentation + Classification)

py-faster-rcnn icon py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

pydensecrf icon pydensecrf

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

pydot-ng icon pydot-ng

Python interface to Graphviz's Dot language compatible with Python 2 nad Python 3

pylidc icon pylidc

An object relational mapping for the LIDC dataset using sqlalchemy.

pylung icon pylung

Pyhton tools to handle lung nodules tags, mainly handles LIDC xml files (as they where formed back in 2010)

pytorch-image-models icon pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

r-fcn icon r-fcn

R-FCN: Object Detection via Region-based Fully Convolutional Networks

repdistiller icon repdistiller

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

resfgb icon resfgb

Functional gradient boosting based on residual network perception

senet icon senet

Squeeze-and-Excitation Networks

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