idiap / sigma-gptLinks
σ-GPT: A New Approach to Autoregressive Models
☆67Updated last year
Alternatives and similar repositories for sigma-gpt
Users that are interested in sigma-gpt are comparing it to the libraries listed below
Sorting:
- Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training☆132Updated last year
- ☆82Updated last year
- Implementation of the Llama architecture with RLHF + Q-learning☆166Updated 7 months ago
- an open source reproduction of NVIDIA's nGPT (Normalized Transformer with Representation Learning on the Hypersphere)☆105Updated 6 months ago
- ☆53Updated last year
- Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"☆101Updated 8 months ago
- $100K or 100 Days: Trade-offs when Pre-Training with Academic Resources☆146Updated 3 months ago
- DeMo: Decoupled Momentum Optimization☆190Updated 9 months ago
- Collection of autoregressive model implementation☆86Updated 4 months ago
- ☆62Updated last year
- Focused on fast experimentation and simplicity☆75Updated 8 months ago
- ☆63Updated 11 months ago
- Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (NeurIPS 2024)☆192Updated last year
- The simplest, fastest repository for training/finetuning medium-sized GPTs.☆160Updated 2 months ago
- Repository for code used in the xVal paper☆144Updated last year
- ☆87Updated last year
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆25Updated 7 months ago
- Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind☆128Updated last year
- Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters☆129Updated 9 months ago
- ☆55Updated last year
- ☆102Updated last month
- WIP☆94Updated last year
- Fast and memory efficient PyTorch implementation of the Perceiver with FlashAttention.☆26Updated 10 months ago
- Getting crystal-like representations with harmonic loss☆194Updated 5 months ago
- ☆28Updated last year
- ☆70Updated last year
- ☆186Updated last month
- Normalized Transformer (nGPT)☆188Updated 9 months ago
- Scaling is a distributed training library and installable dependency designed to scale up neural networks, with a dedicated module for tr…☆65Updated 10 months ago
- Official implementation of the paper "Linear Transformers with Learnable Kernel Functions are Better In-Context Models"☆163Updated 8 months ago