4. Kaggle Solutions This repository give access to almost all available best solutions and ideas shared by top performers in the Kaggle competitions:
CODE
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Curated Machine Learning Frameworks Libraries and Software Repository
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3. Awesome Machine Learning A repository with a curated list of awesome machine learning frameworks, libraries and software:
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Best Repository for Learning MLOps and Machine Learning Foundations
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2. Made with ML Best Repository to Learn MLOps. Also help you learn the foundations of machine learning through intuitive explanations, clean code and visualizations.
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Deep Learning Drizzle: Free Courses from Top Universities
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1. Deep Learning Drizzle This is an organized website where you can find all the FREE and best courses in: → Machine Learning
→ NLP
→ Computer Vision
→ Reinforcement Learning from Top Universities (all in one place) -
5 Essential GitHub Repositories for Machine Learning Engineers
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5 github repositories you should definitely check as a Machine Learning Engineer:
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Fine-tuning LLMs with Spectrum: Targeting Key Layers Efficiently
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Fine-tune with Spectrum Dolphin models use this technique to target the most important layers to fine-tune, like in their recent Qwen2-72B version https://
huggingface.co/cognitivecompu
tations/dolphin-2.9.2-qwen2-72b
… You can use their repo to identify the layers and the "unfrozen_parameters" key in your Axolotl config. -
Great Abstraction Makes Previous Code Structure Unforgettable
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a great abstraction has the property that you can't remember how your code was structured before it was introduced
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Llama 3 Chat Template Optimization for Fine-tuning
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Thanks actually I realised that Axolotl had a Llama 3 chat template after this finetune. It'd be better to use it instead of chatml for sure. It would be better but tbh I've milked this recipe a bit too much 🙂
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Open-Source Agentic Machine Translation Demonstration Released
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I think AI agentic machine translation has huge potential for improving over traditional neural machine translation, and am releasing as open-source a demonstration I'd been playing with as a fun weekend project. Using an agentic workflow, this demonstration (i) Prompts an LLM