Alternatives and similar repositories for widis-lstm-tools

Users that are interested in widis-lstm-tools are comparing it to the libraries listed below

• ml-retrospectives / ml-retrospectives.github.io
  ☆27Updated 2 years ago
• jxbz / madam
  👩 Pytorch and Jax code for the Madam optimiser.
  ☆51Updated 4 years ago
• arrigonialberto86 / set_transformer
  A TensorFlow implementation of the paper 'Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks'
  ☆31Updated last year
• yk / PyTorch_CIFAR10
  Pretrained TorchVision models on CIFAR10 dataset (with weights)
  ☆24Updated 4 years ago
• sscardapane / hydra-tutorial
  Companion code for a tutorial on using Hydra.
  ☆29Updated 4 years ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago
• kyunghyuncho / backprop-kalman-filter
  ☆45Updated 5 years ago
• gd-zhang / noisy-quadratic-model
  Large-batch Training, Neural Network Optimization
  ☆9Updated 5 years ago
• KarenUllrich / binary-VAE
  A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.
  ☆22Updated 5 years ago
• ganguli-lab / degrees-of-freedom
  ☆37Updated 3 years ago
• ermongroup / BiasAndGeneralization
  ☆26Updated 6 years ago
• peerdavid / layerwise-batch-entropy
  Layerwise Batch Entropy Regularization
  ☆23Updated 2 years ago
• juliuskunze / cwvae-jax
  Clockwork VAEs in JAX/Flax
  ☆32Updated 3 years ago
• g-benton / hessian-eff-dim
  Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited
  ☆37Updated 2 years ago
• zihangdai / reexamine-srnn
  ☆12Updated 5 years ago
• Holmeswww / PPOGAN
  ☆24Updated last year
• hadyelsahar / EBM-visualizations
  notebooks of cool EBM visualizations
  ☆15Updated 4 years ago
• uber-research / loss-change-allocation
  ☆61Updated 2 years ago
• choidami / sst
  ☆49Updated 4 years ago
• wiseodd / compound-density-networks
  Implementation of: Kristiadi, Agustinus, and Asja Fischer. "Predictive Uncertainty Quantification with Compound Density Networks." (2019)…
  ☆15Updated 3 years ago
• YeonwooSung / GLOM
  PyTorch implementation of GLOM
  ☆22Updated 3 years ago
• stanfordmlgroup / disentanglement
  Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology
  ☆36Updated 4 years ago
• salesforce / NeuralBayes
  ☆24Updated last month
• greentfrapp / cond-shift-neurons
  Implementation of Conditionally Shifted Neurons by Munkhdalai et al. (https://arxiv.org/pdf/1712.09926.pdf)
  ☆28Updated 6 years ago
• jmtomczak / git_flow
  General Invertible Transformations for Flow-based Generative Models
  ☆18Updated 4 years ago
• hlml / fortuitous_forgetting
  ☆19Updated 3 years ago
• fsschneider / cockpit-experiments
  Experiments for the NeurIPS 2021 paper "Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks"
  ☆13Updated 3 years ago
• nec-research / tf-imle
  Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation
  ☆67Updated 3 years ago
• JingzhaoZhang / why-clipping-accelerates
  A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…
  ☆46Updated 5 years ago
• tk-rusch / unicornn
  Official code for UnICORNN (ICML 2021)
  ☆27Updated 3 years ago