apple / ml-sigma-reparamLinks
☆314Updated last year
Alternatives and similar repositories for ml-sigma-reparam
Users that are interested in ml-sigma-reparam are comparing it to the libraries listed below
Sorting:
- WIP☆93Updated last year
- Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training☆132Updated last year
- JAX implementation of the Llama 2 model☆216Updated last year
- For optimization algorithm research and development.☆547Updated 2 weeks ago
- supporting pytorch FSDP for optimizers☆84Updated 11 months ago
- Efficient optimizers☆276Updated 3 weeks ago
- Annotated version of the Mamba paper☆491Updated last year
- ☆91Updated last year
- A repository for log-time feedforward networks☆223Updated last year
- Experiments around a simple idea for inducing multiple hierarchical predictive model within a GPT☆224Updated last year
- Just some miscellaneous utility functions / decorators / modules related to Pytorch and Accelerate to help speed up implementation of new…☆124Updated last year
- Language Modeling with the H3 State Space Model☆519Updated 2 years ago
- Implementation of the Llama architecture with RLHF + Q-learning☆168Updated 10 months ago
- Implementation of the conditionally routed attention in the CoLT5 architecture, in Pytorch☆230Updated last year
- git extension for {collaborative, communal, continual} model development☆216Updated last year
- Minimalistic, extremely fast, and hackable researcher's toolbench for GPT models in 307 lines of code. Reaches <3.8 validation loss on wi…☆352Updated last year
- Minimal sharded dataset loaders, decoders, and utils for multi-modal document, image, and text datasets.☆160Updated last year
- ☆285Updated last year
- Fast bare-bones BPE for modern tokenizer training☆171Updated 5 months ago
- Effortless plugin and play Optimizer to cut model training costs by 50%. New optimizer that is 2x faster than Adam on LLMs.☆384Updated last year
- The simplest, fastest repository for training/finetuning medium-sized GPTs.☆174Updated 5 months ago
- σ-GPT: A New Approach to Autoregressive Models☆70Updated last year
- ☆53Updated last year
- Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"☆243Updated 5 months ago
- Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (NeurIPS 2024)☆194Updated last year
- Understand and test language model architectures on synthetic tasks.☆240Updated 2 months ago
- A library for unit scaling in PyTorch☆132Updated 4 months ago
- Scalable and Performant Data Loading☆345Updated this week
- CIFAR-10 speedruns: 94% in 2.6 seconds and 96% in 27 seconds☆327Updated 2 weeks ago
- ☆166Updated 2 years ago