automl / GoLULinks
GoLU, a novel, self-gated and element-wise activation function that performs well over a diverse set of tasks
☆24Updated 3 months ago
Alternatives and similar repositories for GoLU
Users that are interested in GoLU are comparing it to the libraries listed below
Sorting:
- an implementation of FAdam (Fisher Adam) in PyTorch☆49Updated 7 months ago
- Implementation of a Light Recurrent Unit in Pytorch☆49Updated last year
- Implementation of the proposed Adam-atan2 from Google Deepmind in Pytorch☆134Updated 3 months ago
- Implementation of Agent Attention in Pytorch☆93Updated last year
- Experimental playground for benchmarking language model (LM) architectures, layers, and tricks on smaller datasets. Designed for flexible…☆95Updated last week
- Implementation of the proposed DeepCrossAttention by Heddes et al at Google research, in Pytorch☆96Updated 11 months ago
- Official PyTorch Implementation for Paper "No More Adam: Learning Rate Scaling at Initialization is All You Need"☆55Updated last year
- Implementation of Infini-Transformer in Pytorch☆112Updated last year
- Code and benchmark for the paper: "A Practitioner's Guide to Continual Multimodal Pretraining" [NeurIPS'24]☆61Updated last year
- ☆48Updated last year
- A repository for DenseSSMs☆88Updated last year
- Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts☆122Updated last year
- Implementation of a modular, high-performance, and simplistic mamba for high-speed applications☆40Updated last year
- Official PyTorch implementation of "LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging" (ICML 2024)☆31Updated last year
- Tiled Flash Linear Attention library for fast and efficient mLSTM Kernels.☆82Updated 2 months ago
- A big_vision inspired repo that implements a generic Auto-Encoder class capable in representation learning and generative modeling.☆34Updated last year
- [ICLR 2025 & COLM 2025] Official PyTorch implementation of the Forgetting Transformer and Adaptive Computation Pruning☆137Updated last month
- A simple but robust PyTorch implementation of RetNet from "Retentive Network: A Successor to Transformer for Large Language Models" (http…☆106Updated 2 years ago
- Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind☆134Updated 3 months ago
- Exploration into the proposed "Self Reasoning Tokens" by Felipe Bonetto☆57Updated last year
- Code for the C2KD paper (ICASSP 2023)☆18Updated 2 years ago
- A practical implementation of GradNorm, Gradient Normalization for Adaptive Loss Balancing, in Pytorch☆126Updated 5 months ago
- Distributed Optimization Infra for learning CLIP models☆27Updated last year
- ☆191Updated last year
- RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best…☆59Updated 10 months ago
- Attempt to make multiple residual streams from Bytedance's Hyper-Connections paper accessible to the public☆163Updated 2 weeks ago
- This is the official repository of the papers "Parameter-Efficient Transfer Learning of Audio Spectrogram Transformers" and "Efficient Fi…☆38Updated last year
- Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"☆102Updated last year
- The Gaussian Histogram Loss (HL-Gauss) proposed by Imani et al. with a few convenient wrappers for regression, in Pytorch☆72Updated 2 months ago
- Explorations into adversarial losses on top of autoregressive loss for language modeling☆41Updated last month