lucidrains / transformer-directed-evolution
Explorations into whether a transformer with RL can direct a genetic algorithm to converge faster
☆63Updated last month
Alternatives and similar repositories for transformer-directed-evolution:
Users that are interested in transformer-directed-evolution are comparing it to the libraries listed below
- Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network☆49Updated 8 months ago
- Attempt to make multiple residual streams from Bytedance's Hyper-Connections paper accessible to the public☆78Updated last month
- Explorations into the recently proposed Taylor Series Linear Attention☆95Updated 7 months ago
- Code accompanying the paper "Generalized Interpolating Discrete Diffusion"☆67Updated last week
- Implementation of GotenNet, new SOTA 3d equivariant transformer, in Pytorch☆56Updated this week
- Implementation of a multimodal diffusion transformer in Pytorch☆101Updated 9 months ago
- Implementation of Infini-Transformer in Pytorch☆110Updated 2 months ago
- Implementation of GateLoop Transformer in Pytorch and Jax☆87Updated 9 months ago
- Official Jax Implementation of MD4 Masked Diffusion Models☆69Updated last month
- Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts☆117Updated 5 months ago
- Implementation of the proposed Adam-atan2 from Google Deepmind in Pytorch☆102Updated 4 months ago
- Self contained pytorch implementation of a sinkhorn based router, for mixture of experts or otherwise☆33Updated 6 months ago
- supporting pytorch FSDP for optimizers☆80Updated 3 months ago
- Official Code for Paper "Think While You Generate: Discrete Diffusion with Planned Denoising" [ICLR 2025]☆54Updated this week
- Exploring an idea where one forgets about efficiency and carries out attention across each edge of the nodes (tokens)☆45Updated last month
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆23Updated 2 months ago
- Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"☆98Updated 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
- The Gaussian Histogram Loss (HL-Gauss) proposed by Imani et al. with a few convenient wrappers for regression, in Pytorch☆56Updated last month
- ☆47Updated 4 months ago
- A general framework for inference-time scaling and steering of diffusion models with arbitrary rewards.☆112Updated last month
- Griffin MQA + Hawk Linear RNN Hybrid☆85Updated 11 months ago
- The simplest, fastest repository for training/finetuning medium-sized GPTs.☆103Updated 4 months ago
- ☆79Updated 11 months ago
- Implementation of the proposed Spline-Based Transformer from Disney Research☆87Updated 4 months ago
- Exploration into the proposed "Self Reasoning Tokens" by Felipe Bonetto☆55Updated 10 months ago
- Focused on fast experimentation and simplicity☆70Updated 3 months ago
- ☆59Updated 4 months ago
- This is a port of Mistral-7B model in JAX☆32Updated 8 months ago
- research impl of Native Sparse Attention (2502.11089)☆54Updated last month