Perceiver VS LOGICGUIDE

Compare Perceiver vs LOGICGUIDE and see what are their differences.

LOGICGUIDE

Plug in and Play implementation of "Certified Reasoning with Language Models" that elevates model reasoning by 40% (by kyegomez)
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Perceiver LOGICGUIDE
7 2
86 15
- -
2.6 6.1
over 3 years ago over 1 year 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.

Perceiver

Posts with mentions or reviews of Perceiver. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-15.

LOGICGUIDE

Posts with mentions or reviews of LOGICGUIDE. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-17.

What are some alternatives?

When comparing Perceiver and LOGICGUIDE you can also consider the following projects:

Swin-Transformer-Object-Detection - This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.

ml-compiler-opt - Infrastructure for Machine Learning Guided Optimization (MLGO) in LLVM.

performer-pytorch - An implementation of Performer, a linear attention-based transformer, in Pytorch

Dalle3 - An API for DALLE-3

Fast-Transformer - An implementation of Fastformer: Additive Attention Can Be All You Need, a Transformer Variant in TensorFlow

ToolEmu - [ICLR'24 Spotlight] A language model (LM)-based emulation framework for identifying the risks of LM agents with tool use

deepmind-perceiver - My implementation of DeepMind's Perceiver

Sophia - Effortless plugin and play Optimizer to cut model training costs by 50%. New optimizer that is 2x faster than Adam on LLMs.

TimeSformer-pytorch - Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification

certified-reasoning - Certified Reasoning with Language Models

gato - Unofficial Gato: A Generalist Agent

zeta - Build high-performance AI models with modular building blocks

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