688 Open source projects that are alternatives of or similar to Vq Vae

nGraph has moved to OpenVINO

A collection of resources that should help and guide your first steps as you learn ML and DL. I am a beginner as well, and these are the resources I found most useful.

SHAInet - a pure Crystal machine learning library

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Mapping a variable-length sentence to a fixed-length vector using BERT model

Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

深度学习论文阅读路线图

Tensorflow implementation for the paper 'Learning Deep Latent Spaces for Multi-Label Classfications' in AAAI 2017

Coarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2020)

Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.

A MNIST-like fashion product database. Benchmark 👇

Optimus: the first large-scale pre-trained VAE language model

A Tensorfflow implementation of Attend, Infer, Repeat

Official PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

Sparse and structured neural attention mechanisms

ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

This is a sample project demonstrating the use of Keras (Tensorflow) for the training of a MNIST model for handwriting recognition using CoreML on iOS 11 for inference.

Deep Texture Encoding Network

Effective Video Augmentation Techniques for Training Convolutional Neural Networks

Implementation of soft dynamic time warping in pytorch

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

A repository for recording the machine learning code

Learn OpenCV : C++ and Python Examples

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

TensorFlow implementation of "SoundNet".

Implementation of the Sliced Wasserstein Autoencoders

Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)

WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.

Hiding Images within other images using Deep Learning

Variational Autoencoder trained by Feature Perceputal Loss

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

Real-time Number Recognition using Apple's CoreML 2.0 and MNIST -

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.

最全的中文版深度学习资源索引，包括论文，慕课，开源框架，数据集等等

Tensorflow Implementation of ChannelNets (NeurIPS 18)

Detecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using Convolutional Neural Networks' from Redmon and Angelova.

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects

📢 Ready to learn or review your knowledge!

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Gluon to PyTorch deep neural network model converter

Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.

An implementation for mnist center loss training and visualization

Voice Activity Detection based on Deep Learning & TensorFlow

All DeepLearning4j projects go here.

MNIST with TensorFlow Lite on Android

Resources for deep learning with satellite & aerial imagery

Code for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"

PyTorch implementation of "Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks"

Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)

Pytorch implementation of the DeepDream computer vision algorithm

StarNet

Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.

💡My Solution to Facial Emotion Recognization in Kaggle competition

This is Andrew NG Coursera Handwritten Notes.

Fast inference engine for OpenNMT models

PyTorch tutorials A to Z

Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets