clarencehoo,github

pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

pointnet_pointnet2_pytorch

PointNet and PointNet++ implemented by pytorch and test on ModelNet, ShapeNet and S3DIS.

pointsetgeneration

Code for ``A Point Set Generation Network for 3D Object Reconstruction from a Single Image''

pytorch-playground

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

really-awesome-gan

A list of papers on Generative Adversarial (Neural) Networks

residual-attention-network

Residual Attention Network for Image Classification

sketchmodeling

Source code for the Sketch Modeling project: reconstruct a 3D shape from line drawing sketches.

sscnet

Semantic Scene Completion from a Single Depth Image

stanford-shapenet-renderer

Scripts for batch rendering models using Blender. Tested with models from stanfords shapenet library.

tensorflow-finetune-flickr-style

Demonstrate the finetune process on TensorFlow

A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).

tensorflow-yolo

tensorflow implementation of 'YOLO : Real-Time Object Detection'(train and test)

tensorflow_notebooks

Fully connected NN, Convolutional Neural Nets, Word2Vec, RNN with LSTM, GRU with TensorFlow

tensorflow_object_tracking_video

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

tensorflowlaboratory

Research about Tensorflow

tf_resnet_cifar

Deep residual learning on CIFAR10 with TensorFlow

tf_videogan

(Ongoing) A TensorFlow version of "Generating Videos with Scene Dynamics"

tfrecord

将已有数据转换为tfrecord

theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

vae-cvae-mnist

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

what3d

What Do Single-view 3D Reconstruction Networks Learn?

word2vec-api

Simple web service providing a word embedding model

wordvectors

Pre-trained word vectors of 30+ languages

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