idiap / sigma-gptLinks
σ-GPT: A New Approach to Autoregressive Models
☆70Updated 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:
- ☆82Updated last year
- Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training☆132Updated last year
- Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"☆103Updated last year
- ☆53Updated last year
- Implementation of the Llama architecture with RLHF + Q-learning☆170Updated 11 months ago
- $100K or 100 Days: Trade-offs when Pre-Training with Academic Resources☆150Updated 3 months ago
- Focused on fast experimentation and simplicity☆79Updated last year
- Collection of autoregressive model implementation☆85Updated this week
- Repository for code used in the xVal paper☆147Updated last year
- ☆109Updated 5 months ago
- Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind☆132Updated 2 months ago
- DeMo: Decoupled Momentum Optimization☆198Updated last year
- ☆55Updated last year
- Getting crystal-like representations with harmonic loss☆195Updated 9 months ago
- The simplest, fastest repository for training/finetuning medium-sized GPTs.☆185Updated 6 months ago
- ☆213Updated last week
- ☆56Updated last year
- Fast and memory efficient PyTorch implementation of the Perceiver with FlashAttention.☆31Updated last year
- an open source reproduction of NVIDIA's nGPT (Normalized Transformer with Representation Learning on the Hypersphere)☆109Updated 10 months ago
- WIP☆93Updated last year
- Scaling is a distributed training library and installable dependency designed to scale up neural networks, with a dedicated module for tr…☆66Updated last month
- ☆92Updated last year
- Implementation of Mind Evolution, Evolving Deeper LLM Thinking, from Deepmind☆58Updated 7 months ago
- Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (NeurIPS 2024)☆198Updated last year
- Normalized Transformer (nGPT)☆195Updated last year
- ☆62Updated 2 years ago
- Official implementation of the paper "Linear Transformers with Learnable Kernel Functions are Better In-Context Models"☆167Updated last year
- ☆27Updated last year
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆25Updated 11 months ago
- ☆63Updated last year