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Top 6 Python Visual Projects
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alive-progress
A new kind of Progress Bar, with real-time throughput, ETA, and very cool animations!
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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code-llama-for-vscode
Use Code Llama with Visual Studio Code and the Continue extension. A local LLM alternative to GitHub Copilot.
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modules.tf-lambda
Infrastructure as code generator - from visual diagrams created with Cloudcraft.co to Terraform
Project mention: Cyrus-and/GDB-dashboard: Modular visual interface for GDB in Python | news.ycombinator.com | 2024-04-11
How are people using codellama and this in their workflows?
I found one option: https://github.com/xNul/code-llama-for-vscode
But I'm guessing there are others, and they might differ in how they provide context to the model.
Maybe cloudcraft https://www.cloudcraft.co
Project mention: Continual Multimodal Knowledge Graph Construction | /r/BotNewsPreprints | 2023-05-16Multimodal Knowledge Graph Construction (MMKC) refers to the process of creating a structured representation of entities and relationships through multiple modalities such as text, images, videos, etc. However, existing MMKC models have limitations in handling the introduction of new entities and relations due to the dynamic nature of the real world. Moreover, most state-of-the-art studies in MMKC only consider entity and relation extraction from text data while neglecting other multi-modal sources. Meanwhile, the current continual setting for knowledge graph construction only consider entity and relation extraction from text data while neglecting other multi-modal sources. Therefore, there arises the need to explore the challenge of continuous multimodal knowledge graph construction to address the phenomenon of catastrophic forgetting and ensure the retention of past knowledge extracted from different forms of data. This research focuses on investigating this complex topic by developing lifelong multimodal benchmark datasets. Based on the empirical findings that several state-of-the-art MMKC models, when trained on multimedia data, might unexpectedly underperform compared to those solely utilizing textual resources in a continual setting, we propose a Lifelong MultiModal Consistent Transformer Framework (LMC) for continuous multimodal knowledge graph construction. By combining the advantages of consistent KGC strategies within the context of continual learning, we achieve greater balance between stability and plasticity. Our experiments demonstrate the superior performance of our method over prevailing continual learning techniques or multimodal approaches in dynamic scenarios. Code and datasets can be found at https://github.com/zjunlp/ContinueMKGC.
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- Code Llama for VS Code
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- Sample cost details report
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A note from our sponsor - SaaSHub
www.saashub.com | 23 Apr 2024
Index
What are some of the best open-source Visual projects in Python? This list will help you:
Project | Stars | |
---|---|---|
1 | gdb-dashboard | 10,580 |
2 | alive-progress | 5,094 |
3 | code-llama-for-vscode | 506 |
4 | modules.tf-lambda | 346 |
5 | ContinueMKGC | 18 |
6 | MERTS-Modded-NERTS | 1 |
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