Z-T-WANG / LaProp-OptimizerLinks
Codes accompanying the paper "LaProp: a Better Way to Combine Momentum with Adaptive Gradient"
☆29Updated 5 years ago
Alternatives and similar repositories for LaProp-Optimizer
Users that are interested in LaProp-Optimizer are comparing it to the libraries listed below
Sorting:
- ☆29Updated last year
- ☆34Updated last year
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆25Updated 10 months ago
- Implementation of GateLoop Transformer in Pytorch and Jax☆90Updated last year
- ☆34Updated last year
- ☆19Updated 6 months ago
- ☆31Updated last year
- Engineering the state of RNN language models (Mamba, RWKV, etc.)☆32Updated last year
- ☆61Updated last year
- Implementation of Spectral State Space Models☆16Updated last year
- ☆34Updated last year
- CUDA implementation of autoregressive linear attention, with all the latest research findings☆45Updated 2 years ago
- LayerNorm(SmallInit(Embedding)) in a Transformer to improve convergence☆61Updated 3 years ago
- Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX☆89Updated last year
- Explorations into the recently proposed Taylor Series Linear Attention☆99Updated last year
- Latent Diffusion Language Models☆69Updated 2 years ago
- The Gaussian Histogram Loss (HL-Gauss) proposed by Imani et al. with a few convenient wrappers for regression, in Pytorch☆67Updated 3 months ago
- Code for the paper "Function-Space Learning Rates"☆23Updated 5 months ago
- Efficiently discovering algorithms via LLMs with evolutionary search and reinforcement learning.☆17Updated 7 months ago
- Exploring an idea where one forgets about efficiency and carries out attention across each edge of the nodes (tokens)☆55Updated 7 months ago
- ☆18Updated last year
- Code implementing "Efficient Parallelization of a Ubiquitious Sequential Computation" (Heinsen, 2023)☆96Updated 11 months ago
- Utilities for PyTorch distributed☆25Updated 8 months ago
- A system for automating selection and optimization of pre-trained models from the TAO Model Zoo☆25Updated last year
- Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"☆103Updated 10 months ago
- Automatically take good care of your preemptible TPUs☆37Updated 2 years ago
- Implementation of a holodeck, written in Pytorch☆18Updated 2 years ago
- ☆53Updated last year
- ☆23Updated 11 months ago
- RWKV model implementation☆38Updated 2 years ago