automl / GoLULinks
GoLU, a novel, self-gated and element-wise activation function that performs well over a diverse set of tasks
☆23Updated 3 months ago
Alternatives and similar repositories for GoLU
Users that are interested in GoLU are comparing it to the libraries listed below
Sorting:
- ☆48Updated last year
- an implementation of FAdam (Fisher Adam) in PyTorch☆49Updated 6 months ago
- Implementation of the proposed Adam-atan2 from Google Deepmind in Pytorch☆134Updated 2 months ago
- Implementation of the proposed DeepCrossAttention by Heddes et al at Google research, in Pytorch☆96Updated 10 months ago
- Implementation of Agent Attention in Pytorch☆93Updated last year
- Implementation of a Light Recurrent Unit in Pytorch☆49Updated last year
- A big_vision inspired repo that implements a generic Auto-Encoder class capable in representation learning and generative modeling.☆34Updated last year
- Explorations into improving ViTArc with Slot Attention☆43Updated last year
- Exploration into the proposed "Self Reasoning Tokens" by Felipe Bonetto☆57Updated last year
- Official PyTorch Implementation for Paper "No More Adam: Learning Rate Scaling at Initialization is All You Need"☆54Updated 11 months ago
- Implementation of Infini-Transformer in Pytorch☆112Updated last year
- Distributed Optimization Infra for learning CLIP models☆27Updated last year
- UnifiedMLLM: Enabling Unified Representation for Multi-modal Multi-tasks With Large Language Model☆22Updated last year
- Experimental playground for benchmarking language model (LM) architectures, layers, and tricks on smaller datasets. Designed for flexible…☆92Updated 3 weeks ago
- Attempt to make multiple residual streams from Bytedance's Hyper-Connections paper accessible to the public☆124Updated this week
- ☆191Updated last year
- Official implementation of Adaptive Feature Transfer (AFT)☆23Updated last year
- A practical implementation of GradNorm, Gradient Normalization for Adaptive Loss Balancing, in Pytorch☆124Updated 4 months ago
- Code and benchmark for the paper: "A Practitioner's Guide to Continual Multimodal Pretraining" [NeurIPS'24]☆61Updated 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 9 months ago
- Autoregressive Image Generation☆31Updated 6 months ago
- Code for the C2KD paper (ICASSP 2023)☆18Updated 2 years ago
- Implementation of Zorro, Masked Multimodal Transformer, in Pytorch☆98Updated 2 years ago
- ☆34Updated 6 months ago
- Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind☆132Updated 2 months ago
- Implementation of a multimodal diffusion transformer in Pytorch☆107Updated last year
- The Gaussian Histogram Loss (HL-Gauss) proposed by Imani et al. with a few convenient wrappers for regression, in Pytorch☆70Updated last month
- Implementation of 2-simplicial attention proposed by Clift et al. (2019) and the recent attempt to make practical in Fast and Simplex, Ro…☆46Updated 4 months ago
- PyTorch implementation of Soft MoE by Google Brain in "From Sparse to Soft Mixtures of Experts" (https://arxiv.org/pdf/2308.00951.pdf)☆81Updated 2 years ago
- Implementation of the proposed MaskBit from Bytedance AI☆83Updated last year