s4sarath / Deep-Learning-Projects

Related projects: ⓘ

• prasoongoyal / bnp-vae
  ☆11Updated 6 years ago
• DSKSD / Controlled_Text_Generation
  ☆16Updated this week
• dapurv5 / keras-neural-tensor-layer
  Neural Tensor Network Implementation as a keras layer
  ☆59Updated 7 years ago
• olddaos / KerasDeepWalk
  Building word embedding for large graphs by a set of random walks. Model learning is backed by Keras, which now supports TensorFlow or Th…
  ☆17Updated 8 years ago
• vsuriya93 / Deep-Learning-for-Graph-Representations
  This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request
  ☆33Updated 7 years ago
• zhegan27 / ConvSent
  The training code for the EMNLP 2017 paper "Learning Generic Sentence Representations Using Convolutional Neural Networks"
  ☆34Updated 7 years ago
• ankitkv / SentimentVAE
  Deep generative model for sentiment analysis
  ☆34Updated 7 years ago
• bobchennan / VAE_NBP
  Variational Auto-encoder with Non-parametric Bayesian Prior
  ☆42Updated 7 years ago
• yufengm / Deep-Learning-Notes
  Notes for Deep Learning Papers
  ☆19Updated 5 years ago
• Eric-Wallace / deep-knn
  ☆33Updated this week
• kefirski / contiguous-succotash
  Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch
  ☆72Updated 3 years ago
• benathi / density-order-emb
  Density Order Embeddings
  ☆33Updated 5 years ago
• tam17aki / recurrent-batchnorm-tensorflow
  An implementation of LSTM with Recurrent Batch Normalization.
  ☆19Updated 7 years ago
• AYLIEN / adversarial-document-model
  Code needed to reproduce "Modeling documents with Generative Adversarial Networks"
  ☆39Updated 7 years ago
• geduo15 / Very-Deep-Convolutional-Networks-for-Natural-Language-Processing-in-tensorflow
  implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow
  ☆56Updated 7 years ago
• dallascard / neural_topic_models
  Code to accompany "A Neural Framework for Generalized Topic Models"
  ☆67Updated 5 years ago
• wead-hsu / ssvae
  codes for Variational Autoencoder for Semi-supervised Text Classification
  ☆39Updated 6 years ago
• ryokamoi / dcnn_textvae
  TensorFlow implementation of "Improved Variational Autoencoders for Text Modeling using Dilated Convolutions"
  ☆55Updated 5 years ago
• sidak / context-mover-distance-and-barycenters
  Code accompanying our paper at AISTATS 2020
  ☆21Updated 3 years ago
• tjanez / PyMTL
  PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…
  ☆44Updated 11 years ago
• abenton / wgcca
  Python Implementation of Weighted Generalized Canonical Correlation Analysis
  ☆34Updated 6 years ago
• bxshi / dynamic_sampled_softmax_loss
  A new TensorFlow op that calculates sampled softmax loss with dynamic number of true classes per training instance.
  ☆9Updated 6 years ago
• talbaumel / MIMIC
  ☆17Updated 4 years ago
• synthesio / hierarchical-attention-networks
  Implementation of Hierarchical Attention Networks as presented in https://www.cs.cmu.edu/~diyiy/docs/naacl16.pdf
  ☆58Updated 6 years ago
• trangptm / HighwayNetwork
  For training very deep networks
  ☆9Updated 7 years ago
• lethienhoa / DenseNet-NLP
  Tensorflow implementation of Very Deep Convolutional Networks for Natural Language Processing
  ☆79Updated 6 years ago
• yuanzh / aspect_adversarial
  Aspect-augmented Adversarial Networks for Domain Adaptation
  ☆50Updated 7 years ago
• kentonl / ran
  ☆46Updated 7 years ago
• gaohuang / S-WMD
  Code for Supervised Word Mover's Distance (SWMD)
  ☆92Updated 6 years ago
• vveitch / causal-embeddings
  Code for "Using Embeddings to Correct for Unobserved Confounding"
  ☆10Updated 5 years ago