toshas / torch-discounted-cumsumLinks
Fast Discounted Cumulative Sums in PyTorch
☆96Updated 4 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
Sorting:
- Implementation of a Transformer that Ponders, using the scheme from the PonderNet paper☆81Updated 4 years ago
- Pytorch implementation of Compressive Transformers, from Deepmind☆162Updated 4 years ago
- Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).☆115Updated 3 years ago
- ☆50Updated 5 years ago
- Implementation of Hierarchical Transformer Memory (HTM) for Pytorch☆76Updated 4 years ago
- Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.☆110Updated 4 years ago
- A GPT, made only of MLPs, in Jax☆58Updated 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 Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing☆50Updated 3 years ago
- 🧀 Pytorch code for the Fromage optimiser.☆129Updated last year
- Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch☆101Updated 2 years ago
- Neural Turing Machines in pytorch☆48Updated 3 years ago
- Reparameterize your PyTorch modules☆71Updated 4 years ago
- JMP is a Mixed Precision library for JAX.☆211Updated 9 months ago
- Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)☆63Updated 4 years ago
- Very deep VAEs in JAX/Flax☆46Updated 4 years ago
- ☆71Updated 2 years ago
- Code for the paper PermuteFormer☆42Updated 4 years ago
- Easy-to-use AdaHessian optimizer (PyTorch)☆79Updated 5 years ago
- ☆159Updated last year
- Implementation of Feedback Transformer in Pytorch☆108Updated 4 years ago
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆25Updated 4 years ago
- A case study of efficient training of large language models using commodity hardware.☆68Updated 3 years ago
- GPT, but made only out of MLPs☆89Updated 4 years ago
- Standalone Product Key Memory module in Pytorch - for augmenting Transformer models☆85Updated 2 weeks ago
- ☆153Updated 5 years ago
- Simple and efficient RevNet-Library for PyTorch with XLA and DeepSpeed support and parameter offload☆131Updated 3 years ago
- CUDA kernels for generalized matrix-multiplication in PyTorch☆85Updated 4 years ago
- Implementation of Mega, the Single-head Attention with Multi-headed EMA architecture that currently holds SOTA on Long Range Arena☆206Updated 2 years ago
- Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions☆259Updated 2 years ago