lucidrains / neatLinks
Explorations into NEAT and some of its derivative research
☆29Updated last week
Alternatives and similar repositories for neat
Users that are interested in neat are comparing it to the libraries listed below
Sorting:
- The Gaussian Histogram Loss (HL-Gauss) proposed by Imani et al. with a few convenient wrappers for regression, in Pytorch☆65Updated 3 weeks ago
- Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"☆101Updated 8 months ago
- Implementation of the proposed Spline-Based Transformer from Disney Research☆103Updated 9 months ago
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆25Updated 7 months ago
- Exploration into the Firefly algorithm in Pytorch☆40Updated 6 months ago
- Exploration into the proposed "Self Reasoning Tokens" by Felipe Bonetto☆56Updated last year
- Explorations into improving ViTArc with Slot Attention☆42Updated 10 months ago
- Attempt to make multiple residual streams from Bytedance's Hyper-Connections paper accessible to the public☆89Updated 2 months ago
- Implementation of a Light Recurrent Unit in Pytorch☆48Updated 10 months ago
- Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network☆50Updated last year
- Exploration into the Scaling Value Iteration Networks paper, from Schmidhuber's group☆36Updated 11 months ago
- Exploring an idea where one forgets about efficiency and carries out attention across each edge of the nodes (tokens)☆53Updated 5 months ago
- Implementation of a transformer for reinforcement learning using `x-transformers`☆67Updated last month
- Efficiently discovering algorithms via LLMs with evolutionary search and reinforcement learning.☆106Updated 3 weeks ago
- Explorations into the recently proposed Taylor Series Linear Attention☆100Updated last year
- Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts☆120Updated 10 months ago
- Codes accompanying the paper "LaProp: a Better Way to Combine Momentum with Adaptive Gradient"☆29Updated 5 years ago
- Recursive Leasting Squares (RLS) with Neural Network for fast learning☆56Updated last year
- Implementation of GateLoop Transformer in Pytorch and Jax☆90Updated last year
- Implementation of the proposed DeepCrossAttention by Heddes et al at Google research, in Pytorch☆91Updated 6 months ago
- Explorations into the proposed Streaming Deep Reinforcement Learning, from University of Alberta☆21Updated 9 months ago
- Implementation of Perceiver AR, Deepmind's new long-context attention network based on Perceiver architecture, in Pytorch☆90Updated 2 years ago
- Implementation of a holodeck, written in Pytorch☆18Updated last year
- Implementation of Mind Evolution, Evolving Deeper LLM Thinking, from Deepmind☆56Updated 3 months ago
- Experiments in Joint Embedding Predictive Architectures (JEPAs).☆40Updated last year
- Implementation of the proposed Adam-atan2 from Google Deepmind in Pytorch☆120Updated 9 months ago
- Just some miscellaneous utility functions / decorators / modules related to Pytorch and Accelerate to help speed up implementation of new…