lucidrains / pytorch-custom-utils
Just some miscellaneous utility functions / decorators / modules related to Pytorch and Accelerate to help speed up implementation of new AI research
☆120Updated 7 months ago
Alternatives and similar repositories for pytorch-custom-utils:
Users that are interested in pytorch-custom-utils are comparing it to the libraries listed below
- Attempt to make multiple residual streams from Bytedance's Hyper-Connections paper accessible to the public☆77Updated last month
- Implementation of Infini-Transformer in Pytorch☆109Updated 2 months ago
- Explorations into the recently proposed Taylor Series Linear Attention☆95Updated 7 months ago
- Implementation of the proposed Adam-atan2 from Google Deepmind in Pytorch☆101Updated 3 months ago
- Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts☆116Updated 5 months ago
- Implementation of a multimodal diffusion transformer in Pytorch☆101Updated 8 months ago
- Simple implementation of muP, based on Spectral Condition for Feature Learning. The implementation is SGD only, dont use it for Adam☆73Updated 7 months ago
- Implementation of the Llama architecture with RLHF + Q-learning☆163Updated last month
- Exploration into the proposed "Self Reasoning Tokens" by Felipe Bonetto☆55Updated 10 months ago
- Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training☆122Updated 11 months ago
- Implementation of GateLoop Transformer in Pytorch and Jax☆87Updated 9 months ago
- ☆76Updated 8 months ago
- WIP☆93Updated 7 months ago
- Implementation of Agent Attention in Pytorch☆90Updated 8 months ago
- Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"☆98Updated 3 months ago
- Efficient optimizers☆183Updated 2 weeks ago
- Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"☆57Updated last year
- A practical implementation of GradNorm, Gradient Normalization for Adaptive Loss Balancing, in Pytorch☆87Updated last year
- Focused on fast experimentation and simplicity☆69Updated 2 months ago
- Implementation of a Light Recurrent Unit in Pytorch☆47Updated 5 months ago
- When it comes to optimizers, it's always better to be safe than sorry☆214Updated last month
- supporting pytorch FSDP for optimizers☆79Updated 3 months ago
- Implementation of 🌻 Mirasol, SOTA Multimodal Autoregressive model out of Google Deepmind, in Pytorch☆88Updated last year
- ☆169Updated 3 months ago
- Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind☆121Updated 7 months ago
- Collection of autoregressive model implementation☆83Updated last month
- Mobile Viewer for W&B, built on top of Flutter.☆33Updated last year
- Fast, Modern, Memory Efficient, and Low Precision PyTorch Optimizers☆87Updated 8 months ago