Transformer-in-Transformer VS nn

Compare Transformer-in-Transformer vs nn and see what are their differences.

Transformer-in-Transformer

An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches (by Rishit-dagli)

nn

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠 (by lab-ml)
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Transformer-in-Transformer nn
4 26
41 48,430
- 4.5%
0.0 7.7
about 2 years ago about 1 month ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Transformer-in-Transformer

Posts with mentions or reviews of Transformer-in-Transformer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-06.

nn

Posts with mentions or reviews of nn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-09.

What are some alternatives?

When comparing Transformer-in-Transformer and nn you can also consider the following projects:

poolformer - PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)

GFPGAN-for-Video-SR - A colab notebook for video super resolution using GFPGAN

LongNet - Implementation of plug in and play Attention from "LongNet: Scaling Transformers to 1,000,000,000 Tokens"

labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

AvatarGAN - Generate Cartoon Images using Generative Adversarial Network

functorch - functorch is JAX-like composable function transforms for PyTorch.

swarms - Orchestrate Swarms of Agents From Any Framework Like OpenAI, Langchain, and Etc for Real World Workflow Automation. Join our Community: https://discord.gg/DbjBMJTSWD

ZoeDepth - Metric depth estimation from a single image

principia - The Principia Rewrite

onnx-simplifier - Simplify your onnx model

planckforth - Bootstrapping a Forth interpreter from hand-written tiny ELF binary. Just for fun.

Basic-UI-for-GPT-J-6B-with-low-vram - A repository to run gpt-j-6b on low vram machines (4.2 gb minimum vram for 2000 token context, 3.5 gb for 1000 token context). Model loading takes 12gb free ram.