ALAE VS gpt-2

Compare ALAE vs gpt-2 and see what are their differences.

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ALAE gpt-2
1 63
3,492 20,917
- 1.8%
0.0 3.1
about 3 years ago 2 months ago
Python Python
- GNU General Public License v3.0 or later
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.

ALAE

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

We haven't tracked posts mentioning ALAE yet.
Tracking mentions began in Dec 2020.

gpt-2

Posts with mentions or reviews of gpt-2. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-20.

What are some alternatives?

When comparing ALAE and gpt-2 you can also consider the following projects:

dalle-mini - DALL·E Mini - Generate images from a text prompt

minGPT - A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time

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

sentencepiece - Unsupervised text tokenizer for Neural Network-based text generation.

jukebox - Code for the paper "Jukebox: A Generative Model for Music"

mesh-transformer-jax - Model parallel transformers in JAX and Haiku

gpt-neox - An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

simsiam-cifar10 - Code to train the SimSiam model on cifar10 using PyTorch

dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).

stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement