google-deepmind / hierarchical_perceiverLinks
☆27Updated last month
Alternatives and similar repositories for hierarchical_perceiver
Users that are interested in hierarchical_perceiver are comparing it to the libraries listed below
Sorting:
- FID computation in Jax/Flax.☆29Updated last year
- ☆53Updated last year
- ☆34Updated 11 months ago
- Official PyTorch Implementation of the Longhorn Deep State Space Model☆56Updated 11 months ago
- ☆119Updated 5 months ago
- JAX implementation of VQVAE/VQGAN autoencoders (+FSQ)☆39Updated last year
- NEVIS'22: Benchmarking the next generation of never-ending learners☆102Updated 2 years ago
- ☆52Updated last year
- Implementation of a Transformer that Ponders, using the scheme from the PonderNet paper☆81Updated 4 years ago
- ☆53Updated last year
- Exploration into the proposed "Self Reasoning Tokens" by Felipe Bonetto☆57Updated last year
- Implementation of Discrete Key / Value Bottleneck, in Pytorch☆88Updated 2 years ago
- Deep Networks Grok All the Time and Here is Why☆37Updated last year
- Implementation of Hierarchical Transformer Memory (HTM) for Pytorch☆76Updated 4 years ago
- Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch☆101Updated 2 years ago
- Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX☆89Updated last year
- Efficient World Models with Context-Aware Tokenization. ICML 2024☆113Updated last year
- Building blocks for productive research☆63Updated 3 months ago
- Easy Hypernetworks in Pytorch and Jax☆105Updated 2 years ago
- ☆61Updated last year
- Explorations into the recently proposed Taylor Series Linear Attention☆99Updated last year
- NF-Layers for constructing neural functionals.☆91Updated last year
- ☆56Updated last year
- LoRA for arbitrary JAX models and functions☆142Updated last year
- TPU pod commander is a package for managing and launching jobs on Google Cloud TPU pods.☆21Updated last month
- ☆34Updated last year
- ICML 2022: Learning Iterative Reasoning through Energy Minimization☆48Updated 2 years ago
- Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training☆132Updated last year
- [ICLR'25] Artificial Kuramoto Oscillatory Neurons☆105Updated 3 weeks ago
- Efficiently Composable Data Augmentation on the GPU with Jax☆41Updated 6 months ago