lhnguyen102 / cuTAGI

Related projects ⓘ

Alternatives and complementary repositories for cuTAGI

• FelixdenBreejen / TabForestPFN
  ☆38Updated 3 months ago
• openopt / chop
  CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.
  ☆76Updated 8 months ago
• rasbt / cyclemoid-pytorch
  Cyclemoid implementation for PyTorch
  ☆87Updated 2 years ago
• adrianjav / heterogeneous_vaes
  Pytorch implementation of VAEs for heterogeneous likelihoods.
  ☆42Updated 2 years ago
• ludwigwinkler / JaxLightning
  Running Jax in PyTorch Lightning
  ☆82Updated 2 weeks ago
• google-deepmind / neural_testbed
  ☆191Updated 6 months ago
• ag1988 / dss
  Sequence Modeling with Structured State Spaces
  ☆60Updated 2 years ago
• ml-jku / quam
  Quantification of Uncertainty with Adversarial Models
  ☆27Updated last year
• aradha / recursive_feature_machines
  ☆41Updated last month
• jambo6 / neuralRDEs
  Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)
  ☆115Updated 3 years ago
• teddykoker / learning-to-learn-jax
  JAX implementation of Learning to learn by gradient descent by gradient descent
  ☆26Updated last month
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆122Updated 2 years ago
• hyeon95y / SparseLinear
  A custom PyTorch layer that is capable of implementing extremely wide and sparse linear layers efficiently
  ☆48Updated 11 months ago
• Z-T-WANG / LaProp-Optimizer
  Codes accompanying the paper "LaProp: a Better Way to Combine Momentum with Adaptive Gradient"
  ☆21Updated 4 years ago
• lucidrains / mlp-gpt-jax
  A GPT, made only of MLPs, in Jax
  ☆55Updated 3 years ago
• layer6ai-labs / calo-forest
  A scalable implementation of diffusion and flow-matching with XGBoost models, applied to calorimeter data.
  ☆17Updated 2 weeks ago
• lucidrains / logavgexp-torch
  Implementation of LogAvgExp for Pytorch
  ☆32Updated 2 years ago
• inria-thoth / mlxp
  A framework for conducting machine learning experiments in python
  ☆37Updated 2 months ago
• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆107Updated this week
• stanfordmlgroup / disentanglement
  Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology
  ☆36Updated 3 years ago
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆109Updated 6 months ago
• ColinQiyangLi / AdaCat
  AdaCat
  ☆49Updated 2 years ago
• TomFrederik / grokking
  Re-implementation of 'Grokking: Generalization beyond overfitting on small algorithmic datasets'
  ☆38Updated 2 years ago
• optimizedlearning / mechanic
  ☆35Updated 9 months ago
• 4rtemi5 / imax
  Image augmentation library for Jax
  ☆37Updated 7 months ago
• dylandoblar / noether-networks
  Meta-learning inductive biases in the form of useful conserved quantities.
  ☆37Updated 2 years ago
• cgarciae / nnx
  Neural Networks for JAX
  ☆83Updated last month
• clemkoa / ntm
  Neural Turing Machines in pytorch
  ☆47Updated 2 years ago
• teddykoker / grokking
  PyTorch implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"
  ☆33Updated 2 years ago