Alternatives and similar repositories for Forecasting-Model-Search

Users that are interested in Forecasting-Model-Search are comparing it to the libraries listed below

• shikaiqiu / compute-better-spent
  ☆62Updated last year
• epfml / DenseFormer
  ☆82Updated last year
• vvvm23 / mamba-jax
  Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX
  ☆92Updated last year
• lucidrains / grokfast-pytorch
  Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"
  ☆103Updated last year
• amirzandieh / HyperAttention
  Triton Implementation of HyperAttention Algorithm
  ☆48Updated 2 years ago
• joey00072 / microjax
  Jax like function transformation engine but micro, microjax
  ☆34Updated last year
• edwardmilsom / function-space-learning-rates-paper
  Code for the paper "Function-Space Learning Rates"
  ☆23Updated 6 months ago
• ruke1ire / RTF
  A State-Space Model with Rational Transfer Function Representation.
  ☆83Updated last year
• dvruette / barrel-rec-pytorch
  ☆53Updated last year
• NX-AI / mlstm_kernels
  Tiled Flash Linear Attention library for fast and efficient mLSTM Kernels.
  ☆79Updated last month
• srush / triton-autodiff
  Experiment of using Tangent to autodiff triton
  ☆81Updated last year
• apple / ml-ademamix
  ☆69Updated last year
• SHI-Labs / CompactNet
  ☆32Updated last year
• AndPotap / einsum-search
  ☆33Updated last year
• lucidrains / GAF-microbatch-pytorch
  Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch
  ☆25Updated 11 months ago
• lucidrains / gateloop-transformer
  Implementation of GateLoop Transformer in Pytorch and Jax
  ☆91Updated last year
• lixilinx / psgd_torch
  Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…
  ☆188Updated last week
• thjashin / multires-conv
  Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)
  ☆127Updated 2 years ago
• probabilists / azula
  Diffusion models in PyTorch
  ☆120Updated last week
• lindermanlab / elk
  Scalable and Stable Parallelization of Nonlinear RNNS
  ☆28Updated 2 months ago
• layer6ai-labs / calo-forest
  A scalable implementation of diffusion and flow-matching with XGBoost models, applied to calorimeter data.
  ☆18Updated last year
• Z-T-WANG / LaProp-Optimizer
  Codes accompanying the paper "LaProp: a Better Way to Combine Momentum with Adaptive Gradient"
  ☆29Updated 5 years ago
• PolymathicAI / xVal
  Repository for code used in the xVal paper
  ☆146Updated last year
• graphcore-research / out-of-the-box-fp8-training
  Demo of the unit_scaling library, showing how a model can be easily adapted to train in FP8.
  ☆46Updated last year
• glassroom / heinsen_sequence
  Code implementing "Efficient Parallelization of a Ubiquitious Sequential Computation" (Heinsen, 2023)
  ☆98Updated last year
• drisspg / transformer_nuggets
  A place to store reusable transformer components of my own creation or found on the interwebs
  ☆63Updated last week
• nikhilvyas / SOAP
  ☆230Updated last year
• opooladz / Preconditioned-Stochastic-Gradient-Descent
  A repo based on XiLin Li's PSGD repo that extends some of the experiments.
  ☆14Updated last year
• google-deepmind / dks
  Multi-framework implementation of Deep Kernel Shaping and Tailored Activation Transformations, which are methods that modify neural netwo…
  ☆74Updated 5 months ago
• ml-jku / quam
  Quantification of Uncertainty with Adversarial Models
  ☆29Updated 2 years ago