Pinned Repositories
electra-pytorch
A simple wrapper for fast pretraining of language models, in Pytorch
gan-spectral
GAN with Spectral-Normalization.
metrics_generative
metrics for generative models (fid, inception)
notes
A set of notes on generative learning.
progen2
Official release of the ProGen models
pygrid
Hyperparameter search for pytorch.
short_run
short_run_inf
Reference implementation of short-run MCMC inference https://arxiv.org/abs/1912.01909
supermonkey
A crawler for automated Android UI testing.
triangle
Reference implementation of divergence triangle https://arxiv.org/abs/1812.10907
enijkamp's Repositories
enijkamp/supermonkey
A crawler for automated Android UI testing.
enijkamp/metrics_generative
metrics for generative models (fid, inception)
enijkamp/pygrid
Hyperparameter search for pytorch.
enijkamp/HS-FRAME
Paper - Generative Hierarchical Learning of Sparse FRAME Models (CVPR17).
enijkamp/adelm
enijkamp/benchmark-langevin
Benchmark runtime of symbolic Langevin in TensorFlow.
enijkamp/notes
A set of notes on generative learning.
enijkamp/pokerbot
An AI for online poker based on computer-vision.
enijkamp/semi-supervised-learning-pytorch
Several SSL methods (Pi model, Mean Teacher) are implemented in pytorch
enijkamp/Beta-VAE
Pytorch implementation of β-VAE
enijkamp/coop-ADELM
enijkamp/coopnet
enijkamp/CoopNets
Cooperative Learning of Energy-Based Model and Latent Variable Model via MCMC Teaching
enijkamp/DPGAN
Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified Text (EMNLP2018)
enijkamp/elm_map
enijkamp/elm_train
enijkamp/enijkamp.github.io.old
Personal page
enijkamp/enijkamp.github.io.old2
:ramen: Minimalist Jekyll Template
enijkamp/HS-FRAME-JOURNAL
enijkamp/Hua-Zhou.github.io
Hua Zhou's personal webpage
enijkamp/IDNNs
explore DNNs via Infomration
enijkamp/M230
enijkamp/ndc
enijkamp/rbm
enijkamp/simple-resnet
ResNet code in TensorFlow without tf.layers boilerplate.
enijkamp/tinycoopnet
enijkamp/uclathes
UCLA Thesis LaTeX style
enijkamp/visual-scripting
A visual testing language based on computer-vision.