Linking pages
- GitHub - rentruewang/koila: Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code. https://github.com/rentruewang/koila 43 comments
- GitHub - CrowdDotDev/awesome-oss-investors: Awesome list of VCs investing in commercial open-source startups 💸 https://github.com/CrowdDotDev/awesome-oss-investors 8 comments
- Lightning AI CEO slams OpenAI's GPT-4 paper as 'masquerading as research' | VentureBeat https://venturebeat.com/ai/lightning-ai-ceo-slams-openais-gpt-4-paper-as-masquerading-as-research/ 5 comments
- PyTorch Team at Lightning - Welcome Mike Ruberry - Lightning AI https://lightning.ai/pages/blog/pytorch-at-lightning-welcome-mike-ruberry/ 4 comments
- Ahead of AI #9: LLM Tuning & Dataset Perspectives https://magazine.sebastianraschka.com/p/ahead-of-ai-9-llm-tuning-and-dataset 4 comments
- Sharing Deep Learning Research Models with Lightning Part 2: Leveraging the Cloud https://sebastianraschka.com/blog/2022/lightning-app-srgan-2.html 2 comments
- GitHub - Lightning-AI/lightning: Deep learning framework to train, deploy, and ship AI products Lightning fast. https://github.com/williamFalcon/pytorch-lightning 1 comment
- GitHub - Lightning-AI/litdata: Blazingly fast, distributed streaming of training data from cloud storage for training models https://github.com/Lightning-AI/litdata 1 comment
- GitHub - Lightning-AI/lightning: Deep learning framework to train, deploy, and ship AI products Lightning fast. https://github.com/PyTorchLightning/pytorch-lightning 0 comments
- Open Source Highlights 2022 for Machine Learning & AI https://sebastianraschka.com/blog/2023/open-source-highlights-2022.html 0 comments
- GitHub - Lightning-AI/lightning: Deep learning framework to train, deploy, and ship AI products Lightning fast. https://github.com/Lightning-AI/lightning 0 comments
- GitHub - siddheshgunjal/slackker: slackker is a python package for monitoring your Model training status in real-time on slack & telegram. It can send you update for your ML model training progress and send final report with graphs when the training is finished. https://github.com/siddheshgunjal/slackker 0 comments
- GitHub - tensorpix/benchmarking-cv-models: Deep computer vision architectures training benchmarking made simple https://github.com/tensorpix/benchmarking-cv-models 0 comments
- GitHub - normal-computing/posteriors: Uncertainty quantification with PyTorch https://github.com/normal-computing/posteriors 0 comments
- GitHub - openvinotoolkit/anomalib: An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference. https://github.com/openvinotoolkit/anomalib 0 comments
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