3.1 KiB
ML Management
This will be important to keep a log of all of the tests that you'll want to run as you begin the EDA process.
Quick Links to Chat Apps:
- ChatGPT
- Perplexity AI
- V0 - Vercel's Chat app
- for how to use - watch this video
- Gemini - Google's Chat app
- Bingchat - Microsoft's OpenAi app
- Dall-e 2 - OpenAI's image generator
- Stable diffusion
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For the privacy-conscious -
- KubeAi - private OpenAI on Kubernetes
Sacred
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Sacred is a fantastic open-source tool to use to pipeline the test process. As explained here, it can really help to log all of the runs that you do with your model.
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Use CatalyzeX for code with ML papers.
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Python wrapper for Dall-E API
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PyTorch package to train and audit ML models for Individual Fairness
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Truss serves any model without boilerplate code
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WEKA is a good resource data mining processes and machine learning testing
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Collection of wolfram neural nets
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Mini-omni - one that can hear and output while hearing
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For a list of a bunch of projects go to ProjectPro
Deep Note & more ML repos
- Deep Note is being used along with hugging face to document an indepth analaysis on ML python tools
- BLOOM 176 billion parameter LLM model created by researchers & FOSS
- here are some examples
Further reading and tutorials:
Animated tutorials of Neural Networks Using fast.ai
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As a reference, text generation has been happening since 2005 with SCIGen for instance.