PaLM-flax VS PaLM-pytorch

Compare PaLM-flax vs PaLM-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)

PaLM-pytorch

Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways (by lucidrains)
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PaLM-flax PaLM-pytorch
1 3
14 821
- 0.0%
4.2 0.0
over 2 years ago over 2 years 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).

PaLM-pytorch

Posts with mentions or reviews of PaLM-pytorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-18.

What are some alternatives?

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

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

nuwa-pytorch - Implementation of NÜWA, state of the art attention network for text to video synthesis, in Pytorch

DALLE-pytorch - Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

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

PaLM-colossalai - Scalable PaLM implementation of PyTorch

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

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

TimeSformer-pytorch - Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification

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Nutrient – The #1 PDF SDK Library, trusted by 10K+ developers
Other PDF SDKs promise a lot - then break. Laggy scrolling, poor mobile UX, tons of bugs, and lack of support cost you endless frustrations. Nutrient’s SDK handles billion-page workloads - so you don’t have to debug PDFs. Used by ~1 billion end users in more than 150 different countries.
www.nutrient.io
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