svenpeter42 / LightGBM-CEGB

Related projects ⓘ

Alternatives and complementary repositories for LightGBM-CEGB

• vfleaking / rnnprop
  RNNprop
  ☆36Updated 7 years ago
• ankitkv / SentimentVAE
  Deep generative model for sentiment analysis
  ☆34Updated 7 years ago
• zhenxuan00 / mmdgm
  Code of "Max-margin Deep Generative Models" (NIPS15)
  ☆18Updated 9 years ago
• talolard / DenseContinuousSentances
  An aspiring attempt to generate a continuous space of sentences with DenseNet
  ☆27Updated 7 years ago
• mandt-lab / adversarial-negative-sampling
  Code for paper by Bamler & Mandt, "Extreme Classification via Adversarial Softmax Approximation" (ICLR 2020)
  ☆14Updated 4 years ago
• fraenkel-lab / GSLR
  An algorithm for classification from a graph-sparse support
  ☆15Updated 5 years ago
• neubig / howtocode-2017
  An example of DyNet autobatching for the NIPS "how to code a paper" workshop
  ☆13Updated 6 years ago
• Philip-Bachman / MatNets-NIPS
  Repo for code for the NIPS paper entitled "An Architecture for Deep, Hierarchical Generative Models"
  ☆14Updated 8 years ago
• JACKHAHA363 / VQVAE
  a replicate of https://arxiv.org/pdf/1711.00937.pdf
  ☆16Updated 6 years ago
• anirudh9119 / LM_GANS
  Professor Forcing, NIPS'16
  ☆45Updated 7 years ago
• kefirski / bytenet
  Pytorch implementation of bytenet from "Neural Machine Translation in Linear Time" paper
  ☆47Updated 6 years ago
• tech-srl / counting_dimensions
  demonstration for our ACL 2018 paper, "On the Practical Computational Power of Finite Precision RNNs for Language Recognition"
  ☆11Updated 5 years ago
• c0nn3r / pytorch_highway_networks
  Highway networks implemented in PyTorch.
  ☆56Updated 7 years ago
• cjratcliff / variational-dropout
  TensorFlow implementation of the method from Variational Dropout Sparsifies Deep Neural Networks, Molchanov et al. (2017)
  ☆16Updated 7 years ago
• deontologician / atari_multitask
  Atari gauntlet for RL agents
  ☆29Updated 7 years ago
• soskek / variational_dropout_sparsifies_dnn
  Variational Dropout Sparsifies Deep Neural Networks (Molchanov et al. 2017) by Chainer
  ☆19Updated 7 years ago
• howardhsu / L-DEM
  code for our IJCAI 2018 paper : "Lifelong Domain Word Embedding via Meta-Learning"
  ☆11Updated 5 years ago
• eelenberg / streak
  Interpreting neural networks via the STREAK algorithm (streaming weak submodular maximization)
  ☆22Updated 7 years ago
• jacobandreas / rnn-syn
  Analogs of Linguistic Structure in Deep Representations
  ☆19Updated 7 years ago
• Avmb / clweadv
  Towards cross-lingual distributed representations without parallel text trained with adversarial autoencoders
  ☆22Updated 8 years ago
• blei-lab / context-selection-embedding
  Context Selection for Embedding Models
  ☆27Updated 7 years ago
• erogol / StudyAdversarials
  Some of my experiments targeting adversarial instances
  ☆12Updated 7 years ago
• divelab / vqa-text
  ☆19Updated 5 years ago
• dirkweissenborn / mufuru
  Tensorflow Implementation of Multi-Function Recurrent Unit
  ☆24Updated 8 years ago
• RemiLeblond / SeaRNN-open
  Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)
  ☆49Updated 6 years ago
• GRAAL-Research / PAC-Bayes_sample_compress_for_kernel_methods
  Learning algorithms introduced in "A PAC-Bayes Sample Compression Approach to Kernel Methods" (ICML 2011)
  ☆9Updated 10 years ago
• germank / compatibility-naacl2015
  Code for "So similar and yet incompatible: Toward the automated identification of semantically compatible words" in NAACL 2015 proceedi…
  ☆11Updated 9 years ago