lucidrains / transformer-directed-evolutionLinks
Explorations into whether a transformer with RL can direct a genetic algorithm to converge faster
☆70Updated 2 months ago
Alternatives and similar repositories for transformer-directed-evolution
Users that are interested in transformer-directed-evolution are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network☆50Updated last year
- Explorations into the recently proposed Taylor Series Linear Attention☆100Updated 11 months ago
- Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"☆101Updated 7 months ago
- Attempt to make multiple residual streams from Bytedance's Hyper-Connections paper accessible to the public☆88Updated last month
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆25Updated 6 months ago
- Implementation of GateLoop Transformer in Pytorch and Jax☆89Updated last year
- Implementation of the proposed Adam-atan2 from Google Deepmind in Pytorch☆112Updated 8 months ago
- Implementation of Infini-Transformer in Pytorch☆111Updated 7 months ago
- Quick implementation of nGPT, learning entirely on the hypersphere, from NvidiaAI☆289Updated 2 months ago
- ☆115Updated last month
- Exploring an idea where one forgets about efficiency and carries out attention across each edge of the nodes (tokens)☆52Updated 4 months ago
- Official Jax Implementation of MD4 Masked Diffusion Models☆118Updated 5 months ago
- Implementation of the Llama architecture with RLHF + Q-learning☆166Updated 6 months ago
- The Gaussian Histogram Loss (HL-Gauss) proposed by Imani et al. with a few convenient wrappers for regression, in Pytorch☆65Updated 2 months ago
- Getting crystal-like representations with harmonic loss☆192Updated 4 months ago
- Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts☆120Updated 9 months ago
- ☆56Updated 8 months ago
- Just some miscellaneous utility functions / decorators / modules related to Pytorch and Accelerate to help speed up implementation of new…☆124Updated last year
- σ-GPT: A New Approach to Autoregressive Models☆67Updated 11 months ago
- Exploration into the proposed "Self Reasoning Tokens" by Felipe Bonetto☆56Updated last year
- This is a port of Mistral-7B model in JAX☆32Updated last year
- Code accompanying the paper "Generalized Interpolating Discrete Diffusion"☆97Updated last month
- Implementation of Agent Attention in Pytorch☆91Updated last year
- Official implementation of the paper: "ZClip: Adaptive Spike Mitigation for LLM Pre-Training".☆131Updated last month
- Unofficial implementation of GotenNet, new SOTA 3d equivariant transformer, in Pytorch☆63Updated 3 months ago
- Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX☆85Updated last year
- ☆206Updated 8 months ago
- ☆81Updated last year
- Implementation of a multimodal diffusion transformer in Pytorch☆102Updated last year
- Efficiently discovering algorithms via LLMs with evolutionary search and reinforcement learning.☆104Updated 3 weeks ago