Attend infer repeatA Tensorfflow implementation of Attend, Infer, Repeat
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WganTensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)
Stars: ✭ 228 (+1166.67%)
Cramer GanTensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)
Stars: ✭ 123 (+583.33%)
stylegan-pokemonGenerating Pokemon cards using a mixture of StyleGAN and RNN to create beautiful & vibrant cards ready for battle!
Stars: ✭ 47 (+161.11%)
question-pairA siamese LSTM to detect sentence/question pairs.
Stars: ✭ 25 (+38.89%)
style-vaeImplementation of VAE and Style-GAN Architecture Achieving State of the Art Reconstruction
Stars: ✭ 25 (+38.89%)
DiffuseVAEA combination of VAE's and Diffusion Models for efficient, controllable and high-fidelity generation from low-dimensional latents
Stars: ✭ 81 (+350%)
Dfc VaeVariational Autoencoder trained by Feature Perceputal Loss
Stars: ✭ 74 (+311.11%)
Sentence VaePyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349
Stars: ✭ 462 (+2466.67%)
Awesome VaesA curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Stars: ✭ 418 (+2222.22%)
InpaintNetCode accompanying ISMIR'19 paper titled "Learning to Traverse Latent Spaces for Musical Score Inpaintning"
Stars: ✭ 48 (+166.67%)
Math object detectionAn image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.
Stars: ✭ 52 (+188.89%)
Vae SeqVariational Auto-Encoders in a Sequential Setting.
Stars: ✭ 145 (+705.56%)
Vae protein functionProtein function prediction using a variational autoencoder
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Vae For Image GenerationImplemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets
Stars: ✭ 87 (+383.33%)
Tf VqvaeTensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).
Stars: ✭ 226 (+1155.56%)
STAR Network[PAMI 2021] Gating Revisited: Deep Multi-layer RNNs That Can Be Trained
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Generative ModelsCollection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Stars: ✭ 6,701 (+37127.78%)
Rep-CounterAI Exercise Rep Counter based on Google's Human Pose Estimation Library (Posenet)
Stars: ✭ 47 (+161.11%)
Solar-Rad-ForecastingIn these notebooks the entire research and implementation process carried out for the construction of various machine learning models based on neural networks that are capable of predicting levels of solar radiation is captured given a set of historical data taken by meteorological stations.
Stars: ✭ 24 (+33.33%)
generative deep learningGenerative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)
Stars: ✭ 24 (+33.33%)
Rnn Handwriting GenerationHandwriting generation by RNN with TensorFlow, based on "Generating Sequences With Recurrent Neural Networks" by Alex Graves
Stars: ✭ 90 (+400%)
FARED for Anomaly DetectionOfficial source code of "Fast Adaptive RNN Encoder-Decoder for Anomaly Detection in SMD Assembly Machine"
Stars: ✭ 14 (-22.22%)
The Third EyeAn AI based application to identify currency and gives audio feedback.
Stars: ✭ 63 (+250%)
FineGrainedVisualRecognitionFine grained visual recognition tensorflow baseline on CUB, Stanford Cars, Dogs, Aircrafts, and Flower102.
Stars: ✭ 19 (+5.56%)
srVAEVAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.
Stars: ✭ 56 (+211.11%)
Machine-Learning🌎 I created this repository for educational purposes. It will host a number of projects as part of the process .
Stars: ✭ 38 (+111.11%)
vqvae-2PyTorch implementation of VQ-VAE-2 from "Generating Diverse High-Fidelity Images with VQ-VAE-2"
Stars: ✭ 65 (+261.11%)
Speech-RecognitionEnd-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
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air writingOnline Hand Writing Recognition using BLSTM
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modulesThe official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We develop a method for analyzing emerging functional modularity in neural networks based on differentiable weight masks and use it to point out important issues in current-day neural networks.
Stars: ✭ 25 (+38.89%)
TF-Model-Deploy-TutorialA tutorial exploring multiple approaches to deploy a trained TensorFlow (or Keras) model or multiple models for prediction.
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novel writerTrain LSTM to writer novel (HongLouMeng here) in Pytorch.
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neuroevolution-robotsNeuroevolution demo through TensorFlow.js, Neataptic, and Box2D
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MidiTokA convenient MIDI / symbolic music tokenizer for Deep Learning networks, with multiple strategies 🎶
Stars: ✭ 180 (+900%)
continuous BernoulliThere are C language computer programs about the simulator, transformation, and test statistic of continuous Bernoulli distribution. More than that, the book contains continuous Binomial distribution and continuous Trinomial distribution.
Stars: ✭ 22 (+22.22%)
mangoQuestion-Answering NLP model with character-level RNN (TensorFlow).
Stars: ✭ 15 (-16.67%)
deeper-traffic-lights[repo not maintained] Check out https://diffgram.com if you want to build a visual intelligence
Stars: ✭ 91 (+405.56%)
sequence-rnn-pySequence analyzing using Recurrent Neural Networks (RNN) based on Keras
Stars: ✭ 28 (+55.56%)
Customer-Feedback-AnalysisMulti Class Text (Feedback) Classification using CNN, GRU Network and pre trained Word2Vec embedding, word embeddings on TensorFlow.
Stars: ✭ 18 (+0%)
ganA 1D toy example of optimizing a generative model using the WGAN-GP model.
Stars: ✭ 21 (+16.67%)
Generalization-Causality关于domain generalization,domain adaptation,causality,robutness,prompt,optimization,generative model各式各样研究的阅读笔记
Stars: ✭ 482 (+2577.78%)
3DCSGNetCSGNet for voxel based input
Stars: ✭ 34 (+88.89%)
DeepLearning-LabCode lab for deep learning. Including rnn,seq2seq,word2vec,cross entropy,bidirectional rnn,convolution operation,pooling operation,InceptionV3,transfer learning.
Stars: ✭ 83 (+361.11%)