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3d-iwgan

A repository for the paper "Improved Adversarial Systems for 3D Object Generation and Reconstruction".

3d-machine-learning

A resource repository for 3D machine learning

3d-scene-gan

Three-dimensional Scene Reconstruction with Generative Adversarial Networks

3d_conditional_gan

The codes of VAE-GAN model for 3d shape reconstruction from depth data

3dgan-release

3D Generative Adversarial Network

acoustic-features

Acoustic features (MFSCs and MFCCs) for edge AI

activity-recoginition-using-pamap2-dataset

Activity recognition using PAMAP2 dataset

aiqn-vae

VAE + Quantile Networks for MNIST

alfred-dict-workflow

A multi-feature, fast and handy alfred dictionary workflow.

alfred_workflows

alphatree-graphic-deep-neural-network

将深度神经网络中的一些模型 进行统一的图示，便于大家对模型的理解

autogan

[ICCV 2019] AutoGAN: Neural Architecture Search for Generative Adversarial Networks

awesome-public-datasets

A topic-centric list of HQ open datasets. PR ☛☛☛

batch_normalized_lstm

Implementation of batch normalization LSTM in pytorch.

biggan-pytorch

The author's officially unofficial PyTorch BigGAN implementation.

channelnets

Tensorflow Implementation of ChannelNets (NeurIPS 18)

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

cnn-ablation-study-cifar10

coloring-t-sne

Exploration of methods for coloring t-SNE.

conference-paper-rss

reading conference paper using rss

custom-iterm-applescripts-for-alfred

Custom iTerm Applescripts for Alfred

da-rnn

📖 Implementation of DA-RNN (arXiv:1704.02971)

dac_sdc_2020_designs

Designs for finalist teams of the DAC System Design Contest

dash-dcsets-cn

Dash中文文档

data-augmentation-for-wearable-sensor-data

A sample code of data augmentation methods for wearable sensor data (time-series data)

deblurgan

Image Deblurring using Generative Adversarial Networks

deepcoral

A PyTorch implementation of 'Deep CORAL: Correlation Alignment for Deep Domain Adaptation.', ECCV 2016

deepmimic

Motion imitation with deep reinforcement learning.

devkit-gan

PyTorch Distributed Training Utils

differentiable-hard-attention-module

A modified version of Spatial Transformer Networks to attend regions on the input image.