PaddleHub
stanford-tensorflow-tutorials
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| PaddleHub | stanford-tensorflow-tutorials | |
|---|---|---|
| 9 | 2 | |
| 12,501 | 9,845 | |
| 0.7% | - | |
| 1.9 | 0.0 | |
| 6 months ago | over 3 years ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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.
PaddleHub
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Where are all the multi-modal models?
China: All of the ERNIE 260B cross-modal stuff.
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[R] ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts + Gradio Demo
Hmm, is the code published? The thing on github just makes requests to a remote server.
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PaddleHub ERNIE-ViLG
PaddleHub has many interesting model, I have starred it. https://github.com/PaddlePaddle/PaddleHub
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[R] ERNIE-ViLG, a state-of-the-art text-to-image model that generates images from Chinese text
Was someone able to find out how big the model is and what hardware you need to run it? That info seems to be missing here.
- Baidu ERNIE-ViLG, output comparable to Stable Diffusion, better in anime
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ERNIE-ViLG, a state-of-the-art text-to-image model that generates images from Chinese text
note this is an updated version, more info here (in chinese): https://github.com/PaddlePaddle/PaddleHub/tree/develop/modules/image/text_to_image/ernie_vilg
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A text-to-image web app for ERNIE-ViLG is available, with output at 1024x1024 pixels. Example: "a beautiful chipmunk iceskating" (translated to Simplified Chinese by Google Translate). Links are in a comment.
GitHub repo.
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[P] PaddleHub: An awesome and easy-to-use pre-trained models toolkit
code：https://github.com/PaddlePaddle/PaddleHub
stanford-tensorflow-tutorials
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Rim Dillon
I’m not sure how to tell you this in a way that won’t deflate your outrage boner, but Stanford uses master in code: https://github.com/chiphuyen/stanford-tensorflow-tutorials
- [D] I'm trying to do more stuff in pure Tensorflow. Is there an in-depth book that explain constructing recurrent, convolutional, graph etc layers in it?
What are some alternatives?
HDR-Multi-Tool - A graphical user interface for parsing HDR10+ and Dolby Vision
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
spleeter - Deezer source separation library including pretrained models.
stanford-openie-python - Stanford Open Information Extraction made simple!
allennlp - An open-source NLP research library, built on PyTorch.
DeepDanbooru - AI based multi-label girl image classification system, implemented by using TensorFlow.
deepdrive - Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
leetcode-compensation - Compensation analysis of leetcode.com/discuss/compensation.
best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
tf-encrypted - A Framework for Encrypted Machine Learning in TensorFlow
tsdf-fusion-python - Python code to fuse multiple RGB-D images into a TSDF voxel volume.
ChatterBot - ChatterBot is a machine learning, conversational dialog engine for creating chat bots