LukasHedegaard / continual-inferenceLinks
A Python library for Continual Inference Networks in PyTorch
☆52Updated 6 months ago
Alternatives and similar repositories for continual-inference
Users that are interested in continual-inference are comparing it to the libraries listed below
Sorting:
- Code repository of the paper "CKConv: Continuous Kernel Convolution For Sequential Data" published at ICLR 2022. https://arxiv.org/abs/21…☆123Updated 2 years ago
- Official Pytorch Implementation for "Continual Transformers: Redundancy-Free Attention for Online Inference" [ICLR 2023]☆28Updated last year
- Layerwise Batch Entropy Regularization☆23Updated 3 years ago
- Implementation of "compositional attention" from MILA, a multi-head attention variant that is reframed as a two-step attention process wi…☆51Updated 3 years ago
- Code repository for the ICLR 2022 paper "FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes" https://openreview.ne…☆116Updated 2 years ago
- A JAX implementation of Broaden Your Views for Self-Supervised Video Learning, or BraVe for short.☆49Updated 3 weeks ago
- Re-implementation of 'Grokking: Generalization beyond overfitting on small algorithmic datasets'☆38Updated 3 years ago
- AdaCat☆49Updated 3 years ago
- Official code for Long Expressive Memory (ICLR 2022, Spotlight)☆70Updated 3 years ago
- A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in y…☆44Updated 2 years ago
- TF/Keras code for DiffStride, a pooling layer with learnable strides.☆124Updated 3 years ago
- Implementation of the Remixer Block from the Remixer paper, in Pytorch☆36Updated 3 years ago
- Continuous Augmented Positional Embeddings (CAPE) implementation for PyTorch☆42Updated 2 years ago
- ☆52Updated 2 years ago
- Implementation of OmniNet, Omnidirectional Representations from Transformers, in Pytorch☆58Updated 4 years ago
- A GPT, made only of MLPs, in Jax☆58Updated 4 years ago
- diffGrad: An Optimization Method for Convolutional Neural Networks☆55Updated 2 years ago
- ☆36Updated 3 years ago
- Texture mapping with variational auto-encoders☆40Updated 3 years ago
- Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"☆26Updated 2 years ago
- An open source implementation of CLIP.☆32Updated 2 years ago
- Training wheels, side rails, and helicopter parent for your Deep Learning projects in PyTorch☆25Updated last year
- Another attempt at a long-context / efficient transformer by me☆38Updated 3 years ago
- Cyclemoid implementation for PyTorch☆90Updated 3 years ago
- A simple program to calculate and visualize the FLOPs and Parameters of Pytorch models, with handy CLI and easy-to-use Python API.☆131Updated 9 months ago
- Large dataset storage format for Pytorch☆45Updated 4 years ago
- High performance pytorch modules☆18Updated 2 years ago
- ☆67Updated 4 years ago
- Traditional Machine Learning Models for Large-Scale Datasets in PyTorch.☆127Updated last month
- a lightweight transformer library for PyTorch☆72Updated 3 years ago