D2L_Attention_Mechanisms_in_TF VS gpt-mini

Compare D2L_Attention_Mechanisms_in_TF vs gpt-mini and see what are their differences.

D2L_Attention_Mechanisms_in_TF

This repository contains Tensorflow 2 code for Attention Mechanisms chapter of Dive into Deep Learning (D2L) book. (by biswajitsahoo1111)

gpt-mini

Yet another minimalistic Tensorflow (re-)re-implementation of Karpathy's Pytorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer). (by aitechnologies-it)
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D2L_Attention_Mechanisms_in_TF gpt-mini
7 1
12 13
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0.0 0.0
over 2 years ago over 1 year ago
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- MIT License
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gpt-mini

Posts with mentions or reviews of gpt-mini. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing D2L_Attention_Mechanisms_in_TF and gpt-mini you can also consider the following projects:

NLP-With-PyTorch - My NLP experiments using PyTorch to solve some common NLP problems with advanced and state of the art deep learning techniques.

Transformer-in-Transformer - An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches

TokenCut - (CVPR 2022) Pytorch implementation of "Self-supervised transformers for unsupervised object discovery using normalized cut"

SpectralEmbeddings - spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoencoders. Variations include VanillaGCN,ChebyshevGCN and Spline GCN along with SDNe based Graph Autoencoder.

pytorch-GAT - My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

alpha-zero-general - A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

minGPT-TF - A minimal TF2 re-implementation of the OpenAI GPT training

vision_transformer_tf - This repository contains the TensorFlow implementation of the paper "AN IMAGE IS WORTH 16X16 WORDS: TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE" known as vision transformers.

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