- performer-pytorch VS long-range-arena
- performer-pytorch VS Perceiver
- performer-pytorch VS memory-efficient-attention-pytorch
- performer-pytorch VS reformer-pytorch
- performer-pytorch VS vit-pytorch
- performer-pytorch VS deep-implicit-attention
- performer-pytorch VS scenic
- performer-pytorch VS TimeSformer-pytorch
- performer-pytorch VS x-transformers
- performer-pytorch VS graphtransformer
Performer-pytorch Alternatives
Similar projects and alternatives to performer-pytorch
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vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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memory-efficient-attention-pytorch
Discontinued Implementation of a memory efficient multi-head attention as proposed in the paper, "Self-attention Does Not Need O(n²) Memory"
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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TimeSformer-pytorch
Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification
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x-transformers
A simple but complete full-attention transformer with a set of promising experimental features from various papers
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graphtransformer
Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better performer-pytorch alternative or higher similarity.
performer-pytorch reviews and mentions
Posts with mentions or reviews of performer-pytorch.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-21.
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[R] Rotary Positional Embeddings - a new relative positional embedding for Transformers that significantly improves convergence (20-30%) and works for both regular and efficient attention
Performer is the best linear attention variant, but linear attention is just one type of efficient attention solution. I have rotary embeddings already in the repo https://github.com/lucidrains/performer-pytorch and you can witness this phenomenon yourself by toggling it on / off
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Why has Google's Performer model not replaced traditional softmax attention?
Here's an PyTorch implementation if you want to play around with it: lucidrains/performer-pytorch: An implementation of Performer, a linear attention-based transformer, in Pytorch (github.com)
Stats
Basic performer-pytorch repo stats
2
1,055
1.8
over 2 years ago
lucidrains/performer-pytorch is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of performer-pytorch is Python.
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