PAL-ML / PEARL_v1Links
☆30Updated 3 years ago
Alternatives and similar repositories for PEARL_v1
Users that are interested in PEARL_v1 are comparing it to the libraries listed below
Sorting:
- Implementation of Hierarchical Transformer Memory (HTM) for Pytorch☆76Updated 4 years ago
- Generalised UDRL☆37Updated 3 years ago
- Variational Reinforcement Learning☆16Updated last year
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆25Updated 4 years ago
- Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)☆50Updated 6 months ago
- A JAX implementation of Broaden Your Views for Self-Supervised Video Learning, or BraVe for short.☆49Updated 3 months ago
- An adaptive training algorithm for residual network☆17Updated 5 years ago
- ☆25Updated last year
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆47Updated 2 years ago
- An implementation of 2021 paper by Geoffrey Hinton: "How to represent part-whole hierarchies in a neural network" in Pytorch.☆57Updated 4 years ago
- Implementation of the Remixer Block from the Remixer paper, in Pytorch☆36Updated 4 years ago
- Code to reproduce the results for Compositional Attention☆59Updated 3 years ago
- An implementation of (Induced) Set Attention Block, from the Set Transformers paper☆65Updated 2 years ago
- ReaSCAN is a synthetic navigation task that requires models to reason about surroundings over syntactically difficult languages. (NeurIPS…☆19Updated 4 years ago
- Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing☆50Updated 3 years ago
- Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"☆15Updated 3 years ago
- Implementation of a Transformer that Ponders, using the scheme from the PonderNet paper☆81Updated 4 years ago
- A simple implementation of a deep linear Pytorch module☆21Updated 5 years ago
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…☆17Updated 5 years ago
- Open source code for paper "On the Learning and Learnability of Quasimetrics".☆32Updated 3 years ago
- Implementation of Kronecker Attention in Pytorch☆19Updated 5 years ago
- A python library for highly configurable transformers - easing model architecture search and experimentation.☆49Updated 4 years ago
- Code for the paper PermuteFormer☆42Updated 4 years ago
- A GPT, made only of MLPs, in Jax☆58Updated 4 years ago
- Solving reinforcement learning tasks which require language and vision☆33Updated 2 years ago
- A Pytorch implementation of Attention on Attention module (both self and guided variants), for Visual Question Answering☆43Updated 5 years ago
- GPT, but made only out of MLPs☆89Updated 4 years ago
- PyTorch implementation of the ICML 2020 paper "Latent Bernoulli Autoencoder"☆24Updated 4 years ago
- [NeurIPS 2020] Official Implementation: "SMYRF: Efficient Attention using Asymmetric Clustering".☆50Updated 2 years ago
- Official code for the paper "Context-Aware Language Modeling for Goal-Oriented Dialogue Systems"☆34Updated 3 years ago