NVlabs / Forecasting-Model-SearchLinks
A system for automating selection and optimization of pre-trained models from the TAO Model Zoo
☆28Updated last year
Alternatives and similar repositories for Forecasting-Model-Search
Users that are interested in Forecasting-Model-Search are comparing it to the libraries listed below
Sorting:
- ☆62Updated last year
- Implementation of GateLoop Transformer in Pytorch and Jax☆91Updated last year
- ☆82Updated last year
- Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"☆103Updated 11 months ago
- ☆34Updated last year
- Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX☆92Updated last year
- Code for the paper "Function-Space Learning Rates"☆23Updated 6 months ago
- Triton Implementation of HyperAttention Algorithm☆48Updated 2 years ago
- A State-Space Model with Rational Transfer Function Representation.☆83Updated last year
- Code implementing "Efficient Parallelization of a Ubiquitious Sequential Computation" (Heinsen, 2023)☆97Updated last year
- Tiled Flash Linear Attention library for fast and efficient mLSTM Kernels.☆77Updated 2 weeks ago
- ☆33Updated last year
- Experiment of using Tangent to autodiff triton☆80Updated last year
- Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…☆188Updated this week
- Multi-framework implementation of Deep Kernel Shaping and Tailored Activation Transformations, which are methods that modify neural netwo…☆74Updated 5 months ago
- Codes accompanying the paper "LaProp: a Better Way to Combine Momentum with Adaptive Gradient"☆29Updated 5 years ago
- Code for minimum-entropy coupling.☆32Updated 2 weeks ago
- ☆32Updated last year
- ☆40Updated last year
- Jax like function transformation engine but micro, microjax☆33Updated last year
- ☆68Updated last year
- ☆34Updated last year
- ☆105Updated 4 months ago
- Automatically take good care of your preemptible TPUs☆37Updated 2 years ago
- ☆152Updated last month
- ☆225Updated last year
- ☆53Updated last year
- A scalable implementation of diffusion and flow-matching with XGBoost models, applied to calorimeter data.☆18Updated last year
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆25Updated 10 months ago
- Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)☆127Updated 2 years ago