theAdamColton / ijepa-enhanced
recipe for training fully-featured self supervised image jepa models
☆10Updated 8 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:
- Implementation of a holodeck, written in Pytorch☆17Updated last year
- Utilities for PyTorch distributed☆24Updated 2 months ago
- [Oral; Neurips OPT2024 ] μLO: Compute-Efficient Meta-Generalization of Learned Optimizers☆12Updated last month
- Repository for the PopulAtion Parameter Averaging (PAPA) paper☆26Updated last year
- ☆37Updated last year
- ☆13Updated 11 months ago
- RS-IMLE☆38Updated 5 months ago
- Exploration into the proposed "Self Reasoning Tokens" by Felipe Bonetto☆56Updated last year
- ☆22Updated 10 months ago
- Patching open-vocabulary models by interpolating weights☆91Updated last year
- Code for "Accelerating Training with Neuron Interaction and Nowcasting Networks" [to appear at ICLR 2025]☆19Updated 2 months ago
- ☆33Updated 8 months ago
- Synthetic Alphabet Dataset☆18Updated last month
- Un-*** 50 billions multimodality dataset☆24Updated 2 years ago
- ☆51Updated last year
- Code for the paper "Function-Space Learning Rates"☆20Updated last month
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆25Updated 3 months ago
- ☆14Updated 5 months ago
- Minimal Implementation of Visual Autoregressive Modelling (VAR)☆33Updated last month
- Official implementation of ECCV24 paper: POA☆24Updated 9 months ago
- Explorations into adversarial losses on top of autoregressive loss for language modeling☆36Updated 2 months ago
- ☆64Updated last year
- A JAX nn library☆21Updated 2 months ago
- ☆31Updated 3 months ago
- ☆21Updated 5 months ago
- Exploring an idea where one forgets about efficiency and carries out attention across each edge of the nodes (tokens)☆51Updated last month
- This library supports evaluating disparities in generated image quality, diversity, and consistency between geographic regions.☆20Updated 11 months ago
- NeuMeta transforms neural networks by allowing a single model to adapt on the fly to different sizes, generating the right weights when n…☆42Updated 6 months ago
- ☆33Updated 6 months ago
- This is a PyTorch implementation of the paperViP A Differentially Private Foundation Model for Computer Vision☆36Updated last year