Transformer-Models-from-Scratch VS ganbert-pytorch

Compare Transformer-Models-from-Scratch vs ganbert-pytorch and see what are their differences.

ganbert-pytorch

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace (by crux82)
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Transformer-Models-from-Scratch ganbert-pytorch
1 1
58 88
- -
0.0 0.0
almost 2 years ago over 2 years ago
Jupyter Notebook Jupyter Notebook
- 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.

Transformer-Models-from-Scratch

Posts with mentions or reviews of Transformer-Models-from-Scratch. We have used some of these posts to build our list of alternatives and similar projects.

ganbert-pytorch

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

What are some alternatives?

When comparing Transformer-Models-from-Scratch and ganbert-pytorch you can also consider the following projects:

OpenNMT-py - Open Source Neural Machine Translation and (Large) Language Models in PyTorch

stylegan-encoder - StyleGAN Encoder - converts real images to latent space

pytorch-seq2seq - Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

ganspace - Discovering Interpretable GAN Controls [NeurIPS 2020]

emotion-classifier - An attention-based BiLSTM for emotion classification.

aws-lambda-docker-serverless-inference - Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.

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

huggingpics - 🤗🖼️ HuggingPics: Fine-tune Vision Transformers for anything using images found on the web.

Pseudo-Labelling - Pseudo Labelling on MNIST dataset in Tensorflow 2.x

multi-label-sentiment-classifier - How to build a multi-label sentiment classifiers with Tez and PyTorch

Deep-Learning - In-depth tutorials on deep learning. The first one is about image colorization using GANs (Generative Adversarial Nets).

HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision