hunar4321 / RLS-neural-netLinks
Recursive Leasting Squares (RLS) with Neural Network for fast learning
☆56Updated last year
Alternatives and similar repositories for RLS-neural-net
Users that are interested in RLS-neural-net are comparing it to the libraries listed below
Sorting:
- Implementation of GateLoop Transformer in Pytorch and Jax☆90Updated last year
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆25Updated 7 months ago
- Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"☆58Updated last year
- Exploring an idea where one forgets about efficiency and carries out attention across each edge of the nodes (tokens)☆53Updated 5 months ago
- Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX☆87Updated last year
- Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"☆101Updated 8 months ago
- LayerNorm(SmallInit(Embedding)) in a Transformer to improve convergence☆59Updated 3 years ago
- Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)☆126Updated last year
- AdaCat☆49Updated 3 years ago
- Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network☆50Updated last year
- Implementation of Perceiver AR, Deepmind's new long-context attention network based on Perceiver architecture, in Pytorch☆90Updated 2 years ago
- Explorations into the recently proposed Taylor Series Linear Attention☆100Updated last year
- Codes accompanying the paper "LaProp: a Better Way to Combine Momentum with Adaptive Gradient"☆29Updated 5 years ago
- A State-Space Model with Rational Transfer Function Representation.☆79Updated last year
- Utilities for PyTorch distributed☆25Updated 6 months ago
- Implementation of Discrete Key / Value Bottleneck, in Pytorch☆88Updated 2 years ago
- Exploration into the proposed "Self Reasoning Tokens" by Felipe Bonetto☆56Updated last year
- ☆82Updated last year
- Implementations of growing and pruning in neural networks☆22Updated 2 years ago
- ☆31Updated 2 months ago
- CUDA implementation of autoregressive linear attention, with all the latest research findings☆44Updated 2 years ago
- My explorations into editing the knowledge and memories of an attention network☆35Updated 2 years ago
- Easy Hypernetworks in Pytorch and Jax☆104Updated 2 years ago
- Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts☆120Updated 10 months ago
- The Gaussian Histogram Loss (HL-Gauss) proposed by Imani et al. with a few convenient wrappers for regression, in Pytorch☆65Updated 3 weeks ago
- Implementation of Metaformer, but in an autoregressive manner☆27Updated 3 years ago
- Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch☆101Updated 2 years ago
- Implementation of a holodeck, written in Pytorch☆18Updated last year
- High order and sparse layers in pytorch. Lagrange Polynomial, Piecewise Lagrange Polynomial, Piecewise Discontinuous Lagrange Polynomial…☆45Updated last year
- Yet another random morning idea to be quickly tried and architecture shared if it works; to allow the transformer to pause for any amount…☆53Updated last year