All Projects → Vq Vae → Similar Projects or Alternatives

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

Learnopencv
Learn OpenCV : C++ and Python Examples
Stars: ✭ 15,385 (+6768.3%)
Mutual labels:  deep-neural-networks
Factorvae
Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)
Stars: ✭ 176 (-21.43%)
Mutual labels:  vae
Keras Unet
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
Stars: ✭ 196 (-12.5%)
Mutual labels:  deep-neural-networks
Awesome Deep Learning For Chinese
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
Stars: ✭ 174 (-22.32%)
Mutual labels:  deep-neural-networks
50 Days Of Ml
A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects
Stars: ✭ 218 (-2.68%)
Mutual labels:  deep-neural-networks
Numpydl
Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.
Stars: ✭ 169 (-24.55%)
Mutual labels:  deep-neural-networks
Tflite Mnist Android
MNIST with TensorFlow Lite on Android
Stars: ✭ 195 (-12.95%)
Mutual labels:  mnist
Terngrad
Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)
Stars: ✭ 168 (-25%)
Mutual labels:  deep-neural-networks
Oneflow
OneFlow is a performance-centered and open-source deep learning framework.
Stars: ✭ 2,868 (+1180.36%)
Mutual labels:  deep-neural-networks
Deepstream Yolo
NVIDIA DeepStream SDK 5.1 configuration for YOLO models
Stars: ✭ 166 (-25.89%)
Mutual labels:  deep-neural-networks
Gan Mnist
Generative Adversarial Network for MNIST with tensorflow
Stars: ✭ 193 (-13.84%)
Mutual labels:  mnist
Text Emotion Classification
Archived - not answering issues
Stars: ✭ 165 (-26.34%)
Mutual labels:  deep-neural-networks
Ml Workspace
Machine Learning (Beginners Hub), information(courses, books, cheat sheets, live sessions) related to machine learning, data science and python is available
Stars: ✭ 221 (-1.34%)
Mutual labels:  deep-neural-networks
Pytorch bn fusion
Batch normalization fusion for PyTorch
Stars: ✭ 164 (-26.79%)
Mutual labels:  deep-neural-networks
Twostagevae
Stars: ✭ 192 (-14.29%)
Mutual labels:  vae
Deep Learning With Tensorflow
Deep Learning with TensorFlow by Packt
Stars: ✭ 163 (-27.23%)
Mutual labels:  deep-neural-networks
Pytorch Vq Vae
PyTorch implementation of VQ-VAE by Aäron van den Oord et al.
Stars: ✭ 204 (-8.93%)
Mutual labels:  vae
Tf Adnet Tracking
Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'
Stars: ✭ 162 (-27.68%)
Mutual labels:  deep-neural-networks
Pytorch Generative Model Collections
Collection of generative models in Pytorch version.
Stars: ✭ 2,296 (+925%)
Mutual labels:  mnist
Guesslang
Detect the programming language of a source code
Stars: ✭ 159 (-29.02%)
Mutual labels:  deep-neural-networks
Pytorch Lapsrn
Pytorch implementation for LapSRN (CVPR2017)
Stars: ✭ 215 (-4.02%)
Mutual labels:  deep-neural-networks
Dynamics
A Compositional Object-Based Approach to Learning Physical Dynamics
Stars: ✭ 159 (-29.02%)
Mutual labels:  deep-neural-networks
Focal Loss Keras
Binary and Categorical Focal loss implementation in Keras.
Stars: ✭ 191 (-14.73%)
Mutual labels:  deep-neural-networks
Best ai paper 2020
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
Stars: ✭ 2,140 (+855.36%)
Mutual labels:  deep-neural-networks
Tsne Umap Embedding Visualisation
A Simple and easy to use way to Visualise Embeddings!
Stars: ✭ 203 (-9.37%)
Mutual labels:  deep-neural-networks
Self Driving Car
Udacity Self-Driving Car Engineer Nanodegree projects.
Stars: ✭ 2,103 (+838.84%)
Mutual labels:  deep-neural-networks
Emotion Classification From Audio Files
Understanding emotions from audio files using neural networks and multiple datasets.
Stars: ✭ 189 (-15.62%)
Mutual labels:  deep-neural-networks
A Hierarchical Latent Structure For Variational Conversation Modeling
PyTorch Implementation of "A Hierarchical Latent Structure for Variational Conversation Modeling" (NAACL 2018 Oral)
Stars: ✭ 153 (-31.7%)
Mutual labels:  vae
Unofficial Implement Of Openpose
Implement of Openpose use Tensorflow
Stars: ✭ 222 (-0.89%)
Mutual labels:  deep-neural-networks
Squeezesegv2
Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud
Stars: ✭ 154 (-31.25%)
Mutual labels:  deep-neural-networks
Snn toolbox
Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.
Stars: ✭ 187 (-16.52%)
Mutual labels:  deep-neural-networks
Msg Net
Multi-style Generative Network for Real-time Transfer
Stars: ✭ 152 (-32.14%)
Mutual labels:  deep-neural-networks
Tensorflow Deep Learning
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
Stars: ✭ 170 (-24.11%)
Mutual labels:  deep-neural-networks
Sylvester Flows
Stars: ✭ 152 (-32.14%)
Mutual labels:  vae
Disentangled vae
Replicating "Understanding disentangling in β-VAE"
Stars: ✭ 188 (-16.07%)
Mutual labels:  vae
Webdnn
The Fastest DNN Running Framework on Web Browser
Stars: ✭ 1,850 (+725.89%)
Mutual labels:  deep-neural-networks
Trixi
Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.
Stars: ✭ 211 (-5.8%)
Mutual labels:  deep-neural-networks
Tutorial separation
This repo summarizes the tutorials, datasets, papers, codes and tools for speech separation and speaker extraction task. You are kindly invited to pull requests.
Stars: ✭ 151 (-32.59%)
Mutual labels:  deep-neural-networks
Deep Survey Text Classification
The project surveys 16+ Natural Language Processing (NLP) research papers that propose novel Deep Neural Network Models for Text Classification, based on Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). It also implements each of the models using Tensorflow and Keras.
Stars: ✭ 187 (-16.52%)
Mutual labels:  deep-neural-networks
Densenet Sdr
repo that holds code for improving on dropout using Stochastic Delta Rule
Stars: ✭ 148 (-33.93%)
Mutual labels:  deep-neural-networks
Pratik Derin Ogrenme Uygulamalari
Çeşitli kütüphaneler kullanılarak Türkçe kod açıklamalarıyla TEMEL SEVİYEDE pratik derin öğrenme uygulamaları.
Stars: ✭ 200 (-10.71%)
Mutual labels:  mnist
Pytorch Vae
A Collection of Variational Autoencoders (VAE) in PyTorch.
Stars: ✭ 2,704 (+1107.14%)
Mutual labels:  vae
Orion
Asynchronous Distributed Hyperparameter Optimization.
Stars: ✭ 186 (-16.96%)
Mutual labels:  deep-neural-networks
Video Classification Cnn And Lstm
To classify video into various classes using keras library with tensorflow as back-end.
Stars: ✭ 218 (-2.68%)
Mutual labels:  deep-neural-networks
P2pala
Page to PAGE Layout Analysis Tool
Stars: ✭ 147 (-34.37%)
Mutual labels:  deep-neural-networks
Cnn From Scratch
A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset
Stars: ✭ 210 (-6.25%)
Mutual labels:  mnist
Artnet
Appearance-and-Relation Networks
Stars: ✭ 201 (-10.27%)
Mutual labels:  deep-neural-networks
Tensorflow Mnist Cnn
MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.
Stars: ✭ 182 (-18.75%)
Mutual labels:  mnist
Beat Blender
Blend beats using machine learning to create music in a fun new way.
Stars: ✭ 147 (-34.37%)
Mutual labels:  vae
Collaborative Experts
Video embeddings for retrieval with natural language queries
Stars: ✭ 147 (-34.37%)
Mutual labels:  deep-neural-networks
Sparse Evolutionary Artificial Neural Networks
Always sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).
Stars: ✭ 182 (-18.75%)
Mutual labels:  deep-neural-networks
Easy Neural Ode
Code for the paper "Learning Differential Equations that are Easy to Solve"
Stars: ✭ 146 (-34.82%)
Mutual labels:  deep-neural-networks
Djl
An Engine-Agnostic Deep Learning Framework in Java
Stars: ✭ 2,262 (+909.82%)
Mutual labels:  deep-neural-networks
Neuralet
Neuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.
Stars: ✭ 200 (-10.71%)
Mutual labels:  deep-neural-networks
Nnpulearning
Non-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10
Stars: ✭ 181 (-19.2%)
Mutual labels:  mnist
Pix2code
pix2code: Generating Code from a Graphical User Interface Screenshot
Stars: ✭ 11,349 (+4966.52%)
Mutual labels:  deep-neural-networks
Machine Learning Tutorials
machine learning and deep learning tutorials, articles and other resources
Stars: ✭ 11,692 (+5119.64%)
Mutual labels:  deep-neural-networks
Pytorch Vae
A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch
Stars: ✭ 181 (-19.2%)
Mutual labels:  vae
Awesome Deepneuroimage
A curated list of awesome deep learning applications in the field of neurological image analysis
Stars: ✭ 145 (-35.27%)
Mutual labels:  deep-neural-networks
Gestureai Coreml Ios
Hand-gesture recognition on iOS app using CoreML
Stars: ✭ 145 (-35.27%)
Mutual labels:  deep-neural-networks
61-120 of 688 similar projects