minGPT-TF VS gpt-mini

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

minGPT-TF

A minimal TF2 re-implementation of the OpenAI GPT training (by kamalkraj)
Tensorflow gpt-2 Gpt gpt3 language-model Tf2
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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)
attention-is-all-you-need attention-mechanism generative-model Gpt Tensorflow tf
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minGPT-TF gpt-mini
1 1
53 13
- -
0.0 0.0
over 2 years ago over 1 year ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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minGPT-TF

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

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 minGPT-TF and gpt-mini you can also consider the following projects:

gpt-3-simple-tutorial - Generate SQL from Natural Language Sentences using OpenAI's GPT-3 Model

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

tf-transformers - State of the art faster Transformer with Tensorflow 2.0 ( NLP, Computer Vision, Audio ).

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.

tensorflow-nanoGPT - Example how to train GPT-2 (XLA + AMP), export to SavedModel and serve with Tensorflow Serving

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

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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.

gpt-neo - An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

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

D2L_Attention_Mechanisms_in_TF - This repository contains Tensorflow 2 code for Attention Mechanisms chapter of Dive into Deep Learning (D2L) book.

minGPT-TF vs gpt-3-simple-tutorial gpt-mini vs Transformer-in-Transformer minGPT-TF vs tf-transformers gpt-mini vs SpectralEmbeddings minGPT-TF vs tensorflow-nanoGPT gpt-mini vs alpha-zero-general minGPT-TF vs transformers gpt-mini vs vision_transformer_tf minGPT-TF vs gpt-neo gpt-mini vs Fast-Transformer gpt-mini vs D2L_Attention_Mechanisms_in_TF