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3dgan-chainer

:package: A Chainer implementation of 3D Generative Adversarial Network.

adversarial_learning_on_pointclouds

advsemiseg

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

aom

Personal fork of https://aomedia.googlesource.com/aom/

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

caffe

Caffe: a fast open framework for deep learning.

deep-belief-network

A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility

deep-learning-tensorflow

Ready to use implementations of various Deep Learning algorithms using TensorFlow.

discriminativeactivelearning

Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog:

dynamic-tensorflow-tutorial

Tensorflow tutorial of building different dynamic recurrent neural network

food2vec

Live recipe recommendation demo: https://altosaar.github.io/food2vec/ Pretty plots: https://jaan.io/food2vec-augmented-cooking-machine-intelligence/

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

human_avatar_demo

incremental_learning

HMM based incremental learning

kcnet

Code for "Mining Point Cloud Local Structures by Kernel Correlation and Graph Max Pooling", CVPR, 2018.

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

mixup

Implementation of the mixup training method

pixart-sigma

PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation

pointnet

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

pointnet_adversarial

ptc_vae

Variational autoencoder for PointCloud

pytorch-classification

Classification with PyTorch.

restricted-boltzmann-machines

Restricted Boltzmann Machines in Python.

shape2prog

Learning to Infer and Execute 3D Shape Programs (ICLR 2019)

snns

Tutorials and implementations for "Self-normalizing networks"

snns-self-normalizing-neural-networks-caffe-reimplementation

Caffe re-implementation of SNNs.

tlsegnet

visdom-tutorial

A simple tutorial to use Visdom to plot your PyTorch training graphs

yirus.github.io

personal website