LFattNet
Attention-based View Selection Networks for Light-field Disparity Estimation (by LIAGM)
long-range-arena
Long Range Arena for Benchmarking Efficient Transformers (by google-research)
Our great sponsors
| LFattNet | long-range-arena | |
|---|---|---|
| 1 | 6 | |
| 53 | 682 | |
| - | 2.9% | |
| 0.0 | 0.0 | |
| over 3 years ago | 5 months ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
LFattNet
Posts with mentions or reviews of LFattNet.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-05-17.
long-range-arena
Posts with mentions or reviews of long-range-arena.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-17.
-
The Secret Sauce behind 100K context window in LLMs: all tricks in one place
https://github.com/google-research/long-range-arena
-
[R] The Annotated S4: Efficiently Modeling Long Sequences with Structured State Spaces
The Structured State Space for Sequence Modeling (S4) architecture is a new approach to very long-range sequence modeling tasks for vision, language, and audio, showing a capacity to capture dependencies over tens of thousands of steps. Especially impressive are the model’s results on the challenging Long Range Arena benchmark, showing an ability to reason over sequences of up to 16,000+ elements with high accuracy.
-
[D] Is there a repo on which many light-weight self-attention mechanism are introduced?
1.1 Long Range Arena: A Benchmark for Efficient Transformers. From authors of above, they proposed a benchmark for modeling long range interactions. It also inlcudes a repository
- [R] Google’s H-Transformer-1D: Fast One-Dimensional Hierarchical Attention With Linear Complexity for Long Sequence Processing
- [2107.11906] H-Transformer-1D: Fast One-Dimensional Hierarchical Attention for Sequences
-
[R][D] Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting. Zhou et al. AAAI21 Best Paper. ProbSparse self-attention reduces complexity to O(nlogn), generative style decoder to obtainsequence output in one step, and self-attention distilling for further reducing memory
I think the paper is written in a clear style and I like that the authors included many experiments, including hyperparameter effects, ablations and extensive baseline comparisons. One thing I would have liked is them comparing their Informer to more efficient transformers (they compared only against logtrans and reformer) using the LRA (https://github.com/google-research/long-range-arena) benchmark.
What are some alternatives?
When comparing LFattNet and long-range-arena you can also consider the following projects:
attention-is-all-you-need-pytorch - A PyTorch implementation of the Transformer model in "Attention is All You Need".
performer-pytorch - An implementation of Performer, a linear attention-based transformer, in Pytorch
fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:
DenseDepth - High Quality Monocular Depth Estimation via Transfer Learning
jax-resnet - Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).
HJxB - Continuous-Time/State/Action Fitted Value Iteration via Hamilton-Jacobi-Bellman (HJB)
Meta-SelfLearning - Meta Self-learning for Multi-Source Domain Adaptation： A Benchmark
tldr-transformers - The "tl;dr" on a few notable transformer papers (pre-2022).
scenic - Scenic: A Jax Library for Computer Vision Research and Beyond
elegy - A High Level API for Deep Learning in JAX
LFattNet vs attention-is-all-you-need-pytorch
long-range-arena vs performer-pytorch
LFattNet vs fashion-mnist
long-range-arena vs attention-is-all-you-need-pytorch
LFattNet vs DenseDepth
long-range-arena vs jax-resnet
LFattNet vs performer-pytorch
long-range-arena vs HJxB
LFattNet vs Meta-SelfLearning
long-range-arena vs tldr-transformers
LFattNet vs scenic
long-range-arena vs elegy