toshas / torch-discounted-cumsum
Fast Discounted Cumulative Sums in PyTorch
☆95Updated 3 years ago
Alternatives and similar repositories for torch-discounted-cumsum:
Users that are interested in torch-discounted-cumsum are comparing it to the libraries listed below
- ☆49Updated 4 years ago
- The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…☆67Updated 2 years ago
- Implementation of a Transformer that Ponders, using the scheme from the PonderNet paper☆80Updated 3 years ago
- Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch☆99Updated 2 years ago
- JMP is a Mixed Precision library for JAX.☆193Updated last month
- Reparameterize your PyTorch modules☆70Updated 4 years ago
- Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.☆103Updated 3 years ago
- A port of muP to JAX/Haiku☆25Updated 2 years ago
- CUDA kernels for generalized matrix-multiplication in PyTorch☆79Updated 3 years ago
- Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)☆48Updated 2 years ago
- AdaCat☆49Updated 2 years ago
- A collection of meta-learning algorithms in Jax☆22Updated 2 years ago
- Easy-to-use AdaHessian optimizer (PyTorch)☆77Updated 4 years ago
- Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).☆108Updated 2 years ago
- Code for the paper PermuteFormer☆42Updated 3 years ago
- Silly twitter torch implementations.☆46Updated 2 years ago
- Implementation of Hierarchical Transformer Memory (HTM) for Pytorch☆72Updated 3 years ago
- JAX implementations of core Deep RL algorithms☆79Updated 2 years ago
- A GPT, made only of MLPs, in Jax☆57Updated 3 years ago
- Implementation of Feedback Transformer in Pytorch☆105Updated 4 years ago
- ☆153Updated 4 years ago
- Code for the ICML'20 paper "Improving Transformer Optimization Through Better Initialization"☆88Updated 4 years ago
- Very deep VAEs in JAX/Flax☆46Updated 3 years ago
- Neural Turing Machines in pytorch☆48Updated 3 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- ☆38Updated last year
- PyTorch Package For Quasimetric Learning☆41Updated 4 months ago
- ☆68Updated last year
- Pytorch implementation of Compressive Transformers, from Deepmind☆156Updated 3 years ago
- ☆154Updated last year