Alternatives and similar repositories for chmm

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

• davidwarne / Bayesian_SIMD_examples
  Supplementary Material to accompany the paper, DJ Warne, SA Sisson, C Drovandi (2019) Acceleration of expensive computations in Bayesian…
  ☆13Updated 4 years ago
• mblondel / projection-losses
  Python implementation of projection losses.
  ☆27Updated 5 years ago
• cuMF / culda_cgs
  Efficient LDA solution on GPUs.
  ☆24Updated 6 years ago
• nanguoshun / StatNLP-Framework
  C++ based implementation of StatNLP framework
  ☆17Updated last year
• cgraywang / transformer-on-diet
  Code repo for "Transformer on a Diet" paper
  ☆31Updated 5 years ago
• jingli9111 / RUM-Tensorflow
  Rotational Unit of Memory
  ☆34Updated 6 years ago
• bioinf-jku / librfn
  Rectified Factor Networks
  ☆38Updated 5 years ago
• bdusell / grefenstette-stack-lstm
  DyNet implementation of stack LSTM experiments by Grefenstette et al.
  ☆21Updated 7 years ago
• michaelfarrell76 / Distributed-SGD
  Parallel SGD, done locally and remote
  ☆14Updated 9 years ago
• perimosocordiae / graphs
  Graph-based learning in Python
  ☆17Updated 7 years ago
• ramkikannan / planc
  Distributed NMF/NTF Library
  ☆47Updated 7 months ago
• che-shr-cat / currennt
  CURRENNT -- CUDA-enabled machine learning library for recurrent neural network
  ☆16Updated 5 years ago
• OliverRichter / normalized-attention
  Code publication to the paper "Normalized Attention Without Probability Cage"
  ☆16Updated 3 years ago
• HazyResearch / anchor-stability
  A study of the downstream instability of word embeddings
  ☆12Updated 2 years ago
• ishalyminov / babi_tools
  Augmentation scripts for the bAbI Dialog Tasks dataset
  ☆13Updated 6 years ago
• jiwoongim / ft-SNE
  f-divergence based t-SNE
  ☆16Updated 2 years ago
• t-vi / pytorch
  Tensors and Dynamic neural networks in Python with strong GPU acceleration
  ☆17Updated last year
• angadgill / Parallel-SGD
  Parallel implementation of Stochastic Gradient Descent using SciKit-Learn library in Python.
  ☆25Updated 8 years ago
• csinva / disentangled-attribution-curves
  Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
  ☆28Updated 4 years ago
• matthieuheitz / WassersteinDictionaryLearning
  Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…
  ☆20Updated 5 years ago
• Noahs-ARK / rational-recurrences
  Implementation for "Rational Recurrences", Peng et al., EMNLP 2018.
  ☆28Updated 3 years ago
• anirudh9119 / walkback_nips17
  Variational Walkback, NIPS'17
  ☆28Updated 7 years ago
• Sandeep42 / anuvada
  Interpretable Models for NLP using PyTorch
  ☆18Updated 7 years ago
• HazyResearch / random_embedding
  ☆15Updated 3 years ago
• ebattenberg / nmf-cuda
  A CUDA implementation of non-negative matrix factorization for GPUs.
  ☆34Updated 7 years ago
• timvieira / learning-to-prune
  Learning to Prune: Exploring the Frontier of Fast and Accurate Parsing
  ☆22Updated 9 months ago
• fabianp / ProxASAGA
  Proximal Asynchronous SAGA
  ☆12Updated 7 years ago
• realbigws / DeepCNF_AUC
  Training Conditional Random Fields (CRF) by Maximizing Area Under the ROC Curve (AUC)
  ☆13Updated 6 years ago
• cchangyou / Santa
  Code for the Santa algorithm for deep learning
  ☆17Updated 7 years ago
• xinyandai / product-quantization
  Implementation of vector quantization algorithms, codes for Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner P…
  ☆59Updated 4 years ago