apple / ml-actLinks
☆56Updated 10 months ago
Alternatives and similar repositories for ml-act
Users that are interested in ml-act are comparing it to the libraries listed below
Sorting:
- [ICML 2025] Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction☆70Updated 4 months ago
- WIP☆93Updated last year
- Sparse Autoencoders for Stable Diffusion XL models.☆69Updated 2 months ago
- Tiny re-implementation of MDM in style of LLaDA and nano-gpt speedrun☆56Updated 6 months ago
- Simple implementation of muP, based on Spectral Condition for Feature Learning. The implementation is SGD only, dont use it for Adam☆85Updated last year
- Replicating and dissecting the git-re-basin project in one-click-replication Colabs☆36Updated 3 years ago
- Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training☆132Updated last year
- DeMo: Decoupled Momentum Optimization☆193Updated 10 months ago
- Synthetic Alphabet Dataset☆19Updated 6 months ago
- $100K or 100 Days: Trade-offs when Pre-Training with Academic Resources☆146Updated this week
- Supporting code for the blog post on modular manifolds.☆39Updated last week
- ☆142Updated 3 weeks ago
- ViT Prisma is a mechanistic interpretability library for Vision and Video Transformers (ViTs).☆308Updated 2 months ago
- supporting pytorch FSDP for optimizers☆84Updated 9 months ago
- The simplest, fastest repository for training/finetuning medium-sized GPTs.☆164Updated 3 months ago
- ☆18Updated 10 months ago
- Focused on fast experimentation and simplicity☆75Updated 9 months ago
- The official github repo for "Diffusion Language Models are Super Data Learners".☆116Updated this week
- ☆34Updated last year
- Official repo for the paper "Weight-based Decomposition: A Case for Bilinear MLPs"☆22Updated 2 months ago
- PyTorch library for Active Fine-Tuning☆92Updated last week
- Official implementation of MAIA, A Multimodal Automated Interpretability Agent☆92Updated 3 months ago
- ☆30Updated 10 months ago
- Official PyTorch implementation and models for paper "Diffusion Beats Autoregressive in Data-Constrained Settings". We find diffusion mod…☆98Updated last month
- Minimal (truly) muP implementation, consistent with TP4 and TP5 papers notation☆14Updated 4 months ago
- Code for reproducing our paper "Not All Language Model Features Are Linear"☆80Updated 10 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
- ☆89Updated last year
- Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (NeurIPS 2024)☆193Updated last year
- Landing repository for the paper "Softpick: No Attention Sink, No Massive Activations with Rectified Softmax"☆84Updated 3 weeks ago