theAdamColton / ijepa-enhancedLinks
recipe for training fully-featured self supervised image jepa models
☆10Updated 5 months ago
Alternatives and similar repositories for ijepa-enhanced
Users that are interested in ijepa-enhanced are comparing it to the libraries listed below
Sorting:
- Exploring an idea where one forgets about efficiency and carries out attention across each edge of the nodes (tokens)☆55Updated 7 months ago
- Implementation of a holodeck, written in Pytorch☆18Updated 2 years ago
- Exploration into the proposed "Self Reasoning Tokens" by Felipe Bonetto☆57Updated last year
- ☆34Updated last year
- Explorations into adversarial losses on top of autoregressive loss for language modeling☆38Updated 8 months ago
- ☆39Updated last year
- Explorations into improving ViTArc with Slot Attention☆43Updated last year
- Implementation of MaMMUT, a simple vision-encoder text-decoder architecture for multimodal tasks from Google, in Pytorch☆102Updated 2 years ago
- ☆23Updated last year
- Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts☆119Updated last year
- Implementation of 🌻 Mirasol, SOTA Multimodal Autoregressive model out of Google Deepmind, in Pytorch☆89Updated last year
- LayerNorm(SmallInit(Embedding)) in a Transformer to improve convergence☆60Updated 3 years ago
- ☆65Updated 2 years ago
- JAX implementation ViT-VQGAN☆82Updated 3 years ago
- ☆54Updated 2 years ago
- Utilities for PyTorch distributed☆25Updated 8 months ago
- A scalable implementation of diffusion and flow-matching with XGBoost models, applied to calorimeter data.☆18Updated last year
- ☆32Updated last year
- Repository for the PopulAtion Parameter Averaging (PAPA) paper☆28Updated last year
- ☆13Updated last year
- ☆52Updated last year
- Implementation of 2-simplicial attention proposed by Clift et al. (2019) and the recent attempt to make practical in Fast and Simplex, Ro…☆47Updated 2 months ago
- Explorations into the recently proposed Taylor Series Linear Attention☆99Updated last year
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆25Updated 9 months ago
- A dashboard for exploring timm learning rate schedulers☆19Updated 11 months ago
- Implementation of Discrete Key / Value Bottleneck, in Pytorch☆88Updated 2 years ago
- CUDA implementation of autoregressive linear attention, with all the latest research findings☆45Updated 2 years ago
- Autoregressive Image Generation☆31Updated 5 months ago
- JAX Scalify: end-to-end scaled arithmetics☆16Updated last year
- Implementation of an Attention layer where each head can attend to more than just one token, using coordinate descent to pick topk☆46Updated 2 years ago