PaLM-flax VS DALLE-pytorch

Compare PaLM-flax vs DALLE-pytorch and see what are their differences.

PaLM-flax

Implementation of the SOTA Transformer architecture from PaLM - Scaling Language Modeling with Pathways in JAX/Flax (by conceptofmind)

DALLE-pytorch

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch (by lucidrains)
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PaLM-flax DALLE-pytorch
1 20
14 5,598
- -
4.2 2.5
over 2 years ago 11 months ago
Python Python
MIT License MIT License
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PaLM-flax

Posts with mentions or reviews of PaLM-flax. We have used some of these posts to build our list of alternatives and similar projects.
  • [R] Proprietary ML model in research paper
    1 project | /r/MachineLearning | 1 Jul 2022
    Google, Deepmind, and OpenAI normally provide a section in their research papers for replicating the pre-training and fine-tuning architectures of the models. For example, a replication of the pre-training architecture outlined in the LaMDA research paper in PyTorch (https://github.com/conceptofmind/LaMDA-pytorch/blob/main/lamda\_pytorch/lamda\_pytorch.py) or another implementation of Google's SOTA Pathways Language Model in JAX/FLAX (https://github.com/conceptofmind/PaLM-flax).

DALLE-pytorch

Posts with mentions or reviews of DALLE-pytorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-03.

What are some alternatives?

When comparing PaLM-flax and DALLE-pytorch you can also consider the following projects:

PaLM-pytorch - Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways

DALL-E - PyTorch package for the discrete VAE used for DALL·E.

x-transformers - A concise but complete full-attention transformer with a set of promising experimental features from various papers

DALLE2-pytorch - Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

RWKV-LM - RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

deep-daze - Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun

soundstorm-pytorch - Implementation of SoundStorm, Efficient Parallel Audio Generation from Google Deepmind, in Pytorch

CoCa-pytorch - Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch

whisper-timestamped - Multilingual Automatic Speech Recognition with word-level timestamps and confidence

DALLE-datasets - This is a summary of easily available datasets for generalized DALLE-pytorch training.

imagen-pytorch - Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

DALLE-reproduction - Reproducing OpenAI's DALLE model

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