sdgrid
PaddleNLP
sdgrid | PaddleNLP | |
---|---|---|
1 | 2 | |
4 | 11,448 | |
- | 1.4% | |
10.0 | 9.8 | |
over 1 year ago | 4 days ago | |
Python | Python | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
sdgrid
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I generated over 4000 images showing 200+ prompt styles. Additional prompt ideas welcome!
More prompt ideas are very welcome. Ideally send me a PR on github (https://github.com/lacop/sdgrid/blob/main/inputs/styles.csv) but I can also go through comments here tomorrow and add more stuff.
PaddleNLP
What are some alternatives?
PaddleOCR - Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
ivy - The Unified AI Framework
DeepFaceLive - Real-time face swap for PC streaming or video calls
devops-exercises - Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
LinkBERT - [ACL 2022] LinkBERT: A Knowledgeable Language Model 😎 Pretrained with Document Links
ColossalAI - Making large AI models cheaper, faster and more accessible
DeepFaceLab - DeepFaceLab is the leading software for creating deepfakes.
dalle-mini - DALL·E Mini - Generate images from a text prompt
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
ERNIE-text-classification-pytorch - This repo contains a PyTorch implementation of a pretrained ERNIE model for text classification.
ERNIE - Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.