Alternatives and similar repositories for kyle:

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

• jmkuebler / auto-tst
  AutoML Two-Sample Test
  ☆19Updated 2 years ago
• SuReLI / NeurOps
  Implementations of growing and pruning in neural networks
  ☆22Updated last year
• leonard-gleyzer / connex
  Fine-grained, dynamic control of neural network topology in JAX.
  ☆21Updated last year
• ml-jku / quam
  Quantification of Uncertainty with Adversarial Models
  ☆27Updated last year
• ganguli-lab / degrees-of-freedom
  ☆36Updated 2 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
• AndyShih12 / LongHorizonTemperatureScaling
  PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023
  ☆20Updated last year
• avkl / twinning
  Data Twinning
  ☆25Updated 2 years ago
• AaltoML / PeriodicBNN
  Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)
  ☆18Updated 3 years ago
• gwgundersen / rflvm
  Random feature latent variable models in Python
  ☆22Updated last year
• AndreasMadsen / nlp-roar-interpretability
  Measuring if attention is explanation with ROAR
  ☆22Updated last year
• remilepriol / causal-adaptation-speed
  Investigate the speed of adaptation of structural causal models
  ☆16Updated 3 years ago
• ExpectationMax / sklearn-jax-kernels
  Composable kernels for scikit-learn implemented in JAX.
  ☆42Updated 4 years ago
• f-dangel / vivit
  [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…
  ☆17Updated last year
• KarenUllrich / binary-VAE
  A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.
  ☆21Updated 4 years ago
• NathanGodey / headless-lm
  Training and evaluation code for the paper "Headless Language Models: Learning without Predicting with Contrastive Weight Tying" (https:/…
  ☆24Updated 9 months ago
• shikaiqiu / compute-better-spent
  ☆50Updated 3 months ago
• rovle / gpt3-in-context-fitting
  Experiments on GPT-3's ability to fit numerical models in-context.
  ☆14Updated 2 years ago
• benbo / interactive-weak-supervision
  Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling
  ☆30Updated 3 years ago
• ag1988 / dlr
  The accompanying code for "Simplifying and Understanding State Space Models with Diagonal Linear RNNs" (Ankit Gupta, Harsh Mehta, Jonatha…
  ☆19Updated 2 years ago
• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆57Updated last year
• teddykoker / learning-to-learn-jax
  JAX implementation of Learning to learn by gradient descent by gradient descent
  ☆26Updated 3 months ago
• ASEM000 / pytreeclass
  Visualize, create, and operate on pytrees in the most intuitive way possible.
  ☆43Updated last week
• cunningham-lab / cb_and_cc
  ☆35Updated 2 years ago
• EleutherAI / mdl
  Minimum Description Length probing for neural network representations
  ☆18Updated last week
• TrentBrick / attention-approximates-sdm
  Code for the paper "Attention Approximates Sparse Distributed Memory"
  ☆22Updated 3 years ago
• ermongroup / SPN_Variational_Inference
  PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020
  ☆15Updated 3 years ago
• deep-spin / sparse_continuous_distributions
  This repository provides open-source code for sparse continuous distributions and corresponding Fenchel-Young losses.
  ☆16Updated last year
• allenai / EmbeddingRecycling
  Embedding Recycling for Language models
  ☆38Updated last year
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆47Updated last year