clearml
tableQA
Our great sponsors
| clearml | tableQA | |
|---|---|---|
| 20 | 6 | |
| 5,217 | 284 | |
| 2.5% | - | |
| 8.1 | 2.6 | |
| 8 days ago | 5 months ago | |
| Python | Python | |
| Apache License 2.0 | GNU General Public License v3.0 only |
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.
clearml
- FLaNK Stack Weekly 12 February 2024
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clearml VS cascade - a user suggested alternative
2 projects | 5 Dec 2023
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cascade alternatives - clearml and MLflow
3 projects | 1 Nov 2023
- Is there any workflow orchestrator that is Hydra friendly ?
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Show HN: Open-source infra for data scientists
It looks like Magniv is targeting Python in general. This is similar to ClearML. What are the differentiating points to Magniv compared to similar products?
It seems like the product also integrates with SCM systems. Are you using gitea and then containers to push code and data to execution like CodeOcean?
https://github.com/allegroai/clearml
https://codeocean.com/
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[D] Drop your best open source Deep learning related Project
Hi there. ClearML is our open-source solution which is part of the PyTorch ecosystem. We would really appreciate it if you read our README and starred us if you like what you see!
- Start with powerful experiment management and scale into full MLOps with only 2 lines of code.
- Everything you need to log, share, and version experiments, orchestrate pipelines, and scale within one open-source MLOps solution.
- Start with powerful experiment management and scale into full MLOps with only 2 lines of code
tableQA
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Looking to switch from full-time open source to an early stage startup
Here is one of my first projects which I finished just after my undergrad, learned good approaches to maintaining a repo, and wrote a research publication about it! Reference: TableQA
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What Kind of Projects Did Yall Make To Get Your First Internships?
I work in AI, when I first secured my internship my manager told me they hired me because of this project: https://github.com/abhijithneilabraham/tableQA
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[D] Drop your best open source Deep learning related Project
Well thanks for asking, I've used deep learning in one of my projects. Here's the [url](https://github.com/abhijithneilabraham/tableQA)
- Question Answering on Tabular Data- A survey [Project]
- Question Answering on Tabular Data- A survey
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TableQA -Query your tabular data with natural language
Github-TableQA
What are some alternatives?
MLflow - Open source platform for the machine learning lifecycle
happy-transformer - Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.
BentoML - The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!
EasyEnergy - Track the energy consumption for your Machine Learning experiments.
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!
jako - Parallelization of Hyperparameter Experiments with Talos
kedro-great - The easiest way to integrate Kedro and Great Expectations
hent-AI - Automation of censor bar detection
streamlit - Streamlit — A faster way to build and share data apps.
tableQA-Chinese - Unsupervised tableQA and databaseQA on chinese finance question and tabular data
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
ada - Accelerate your data analysis with AI.