Alternatives and similar repositories for hqa:

Users that are interested in hqa are comparing it to the libraries listed below

• bshall / VectorQuantizedVAE
  A PyTorch implementation of "Continuous Relaxation Training of Discrete Latent Variable Image Models"
  ☆73Updated 4 years ago
• Separius / CudaRelativeAttention
  custom cuda kernel for {2, 3}d relative attention with pytorch wrapper
  ☆43Updated 4 years ago
• jthickstun / basis-separation
  Implementation of the BASIS algorithm for source separation with deep generative priors
  ☆37Updated last year
• Newbeeer / Anytime-Auto-Regressive-Model
  Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"
  ☆25Updated last year
• ShangyuanTong / PairGAN
  ☆21Updated 4 years ago
• ritheshkumar95 / minimal_diffusion_models
  ☆16Updated 3 years ago
• YorkUCVIL / Wavelet-Flow
  Wavelet Flow: Fast Training of High Resolution Normalizing Flows
  ☆59Updated 3 years ago
• denproc / Taming-VAEs
  ☆26Updated 6 years ago
• hojonathanho / localbitsback
  Compression with Flows via Local Bits-Back Coding
  ☆39Updated 5 years ago
• distsup / DistSup
  Representation learning for NLP @ JSALT19
  ☆38Updated 4 years ago
• chrischute / flowplusplus
  Implementation of Flow++ in PyTorch
  ☆41Updated 5 years ago
• didriknielsen / pixelcnn_flow
  Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"
  ☆19Updated 4 years ago
• thu-ml / vflow
  Official code for "VFlow: More Expressive Generative Flows with Variational Data Augmentation" (ICML 2020)
  ☆39Updated last year
• pclucas14 / iaf-vae
  Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"
  ☆80Updated 4 years ago
• jornpeters / integer_discrete_flows
  Code release for Hoogeboom, Emiel, Jorn WT Peters, Rianne van den Berg, and Max Welling. "Integer Discrete Flows and Lossless Compression…
  ☆97Updated 5 years ago
• revsic / jax-variational-diffwave
  Jax/Flax implementation of Variational-DiffWave.
  ☆40Updated 2 years ago
• L0SG / NanoFlow
  PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity." (NeurIPS 2020)
  ☆64Updated 4 years ago
• pclucas14 / adaptive-quantization-modules
  Code for "Online Learned Continual Compression with Adaptive Quantization Modules"
  ☆27Updated 4 years ago
• liu-ziyin / NeurIPS_2020_Snake
  ☆31Updated 3 years ago
• facebookresearch / improved_vrnn
  Code for Improved Condtional VRNNs for Video Prediction
  ☆38Updated 3 years ago
• ajayjain / lmconv
  Code for UAI 2020 paper "Locally Masked Convolution for Autoregressive Models"
  ☆77Updated 4 years ago
• ehoogeboom / emerging
  ☆42Updated 5 years ago
• kamenbliznashki / pixel_models
  Pytorch implementations of autoregressive pixel models - PixelCNN, PixelCNN++, PixelSNAIL
  ☆36Updated 5 years ago
• google-research / fitvid
  ☆66Updated 3 years ago
• max-liu-112 / SRGANs-Spectral-Regularization-GANs-
  ☆11Updated 5 years ago
• naturomics / DLF
  Code for reproducing results in "Generative Model with Dynamic Linear Flow"
  ☆70Updated 5 years ago
• aravindsrinivas / flowpp
  Code for reproducing Flow ++ experiments
  ☆187Updated 5 years ago
• google-research / diffstride
  TF/Keras code for DiffStride, a pooling layer with learnable strides.
  ☆124Updated 3 years ago
• XuezheMax / macow
  Masked Convolutional Flow
  ☆59Updated 4 years ago
• VITA-Group / Orthogonality-in-CNNs
  [NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.
  ☆128Updated 3 years ago