- what does " explore with weight and bias the dataset" means? https://wandb.ai/site 3 comments learnmachinelearning
- Self-hosting tools for ML ops/experiment management (e.g. wandb or kubeflow) https://wandb.ai/site 8 comments selfhosted
Linking pages
- Machine Learning is Still Too Hard for Software Engineers | Nyckel https://www.nyckel.com/blog/ml-too-hard-for-software-developers/ 167 comments
- GitHub - mshumer/gpt-prompt-engineer https://github.com/mshumer/gpt-prompt-engineer 160 comments
- Echo Chess: The Quest for Solvability https://samiramly.com/chess 115 comments
- Machine Learning is Still Too Hard for Software Engineers | Nyckel https://www.nyckel.com/blog/machine-learning-difficulties/ 105 comments
- GitHub - EleutherAI/gpt-neox: An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library. https://github.com/EleutherAI/gpt-neox 67 comments
- Notes on training BERT from scratch on an 8GB consumer GPU | sidsite https://sidsite.com/posts/bert-from-scratch/ 67 comments
- AI: Startup Vs Incumbent Value - by Elad Gil - Elad Blog https://blog.eladgil.com/p/ai-startup-vs-incumbent-value 30 comments
- GitHub - s-casci/tinyzero: Easily train AlphaZero-like agents on any environment you want! https://github.com/s-casci/tinyzero 25 comments
- Increasing rate of experimentation - by Arkid Mitra https://arkid.substack.com/p/increasing-rate-of-experimentation 14 comments
- GitHub - vturrisi/solo-learn: solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning https://github.com/vturrisi/solo-learn 6 comments
- Mandala: Python programs that save, query and version themselves | Alex Makelov https://amakelov.github.io/blog/pl/ 4 comments
- GitHub - iterative/dvclive: 📈 Log and track ML metrics, parameters, models with Git and/or DVC https://github.com/iterative/dvclive 3 comments
- GitHub - wirrywoo/ACubed: (WIP) A Redesigned System to Improve Skill Measurement and Stepfile Difficulty Quantification in FlashFlashRevolution https://github.com/wirrywoo/ACubed 3 comments
- Bringing software development principles to Machine Learning https://sachinchandra.substack.com/p/bringing-software-development-principles 2 comments
- The Persistence Problem: Lessons learned from illustrating a children's book with GPT-3 and crAIyon. https://laulpogan.substack.com/p/the-persistence-problem-lessons-learned 2 comments
- CleanRL https://docs.cleanrl.dev/ 2 comments
- A complete Hugging Face tutorial: how to build and train a vision transformer | AI Summer https://theaisummer.com/hugging-face-vit/ 2 comments
- How to publish at a top-tier (A*) AI conference ? | Medium https://medium.com/@aGIToz/how-to-publish-at-a-top-tier-a-ai-conference-6d7246db6c29 1 comment
- Data50: The World’s Top 50 Data Startups | Future https://future.a16z.com/data50/ 1 comment
- Healthsea: an end-to-end spaCy pipeline for exploring health supplement effects · Explosion https://explosion.ai/blog/healthsea/ 1 comment
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