Linking pages
- 2020 Startup Themes | Daniel Gross https://dcgross.com/2020-startup-themes/ 165 comments
- GitHub - jantic/DeOldify: A Deep Learning based project for colorizing and restoring old images (and video!) https://github.com/jantic/DeOldify#docker-for-api 129 comments
- GitHub - josephmisiti/awesome-machine-learning: A curated list of awesome Machine Learning frameworks, libraries and software. https://github.com/josephmisiti/awesome-machine-learning 58 comments
- Introducing spaCy v3.0 · Explosion https://explosion.ai/blog/spacy-v3-nightly 29 comments
- Why are Machine Learning Projects so Hard to Manage? | by Lukas Biewald | Medium https://medium.com/@l2k/why-are-machine-learning-projects-so-hard-to-manage-8e9b9cf49641 17 comments
- GitHub - borisdayma/dalle-mini: DALL·E Mini - Generate images from a text prompt https://github.com/borisdayma/dalle-mini 11 comments
- The 32 Implementation Details of Proximal Policy Optimization (PPO) Algorithm https://costa.sh/blog-the-32-implementation-details-of-ppo.html 9 comments
- GitHub - raharth/PyMatch: A collection of different PyTorch wrappers for training neural networks and reinforcement algorithms https://github.com/raharth/PyMatch 6 comments
- 8 Creators and Core Contributors Talk About Their Model Training Libraries From PyTorch Ecosystem - neptune.ai https://neptune.ai/blog/model-training-libraries-pytorch-ecosystem 6 comments
- GitHub - medipixel/rl_algorithms: Structural implementation of RL key algorithms https://github.com/medipixel/rl_algorithms 5 comments
- GitHub - wandb/openui: OpenUI let's you describe UI using your imagination, then see it rendered live. https://github.com/wandb/openui 4 comments
- GitHub - alirezadir/Production-Level-Deep-Learning: A guideline for building practical production-level deep learning systems to be deployed in real world applications. https://github.com/alirezadir/Production-Level-Deep-Learning 3 comments
- The 7 Questions You Need to Ask to Operate Deep Learning Infrastructure at Scale — James Le https://jameskle.com/writes/deep-learning-infrastructure-tooling 1 comment
- GitHub - nicolas-chaulet/torch-points3d: Pytorch framework for doing deep learning on point clouds. https://github.com/nicolas-chaulet/torch-points3d 1 comment
- Starting a Second Machine Learning Tools Company, Ten Years Later | by Lukas Biewald | Medium https://medium.com/@l2k/starting-a-second-machine-learning-tools-company-ten-years-later-21a40324d091 1 comment
- Autodata: Automating common data operations | N=1 (marcua’s blog) https://blog.marcua.net/2021/02/07/autodata-automating-common-data-operations.html 0 comments
- How We Conduct Large-scale DRL Experiments https://costa.sh/blog-how-we-conduct-large-scale-drl-experiments.html 0 comments
- blog_post_kubernetes_deployment.md · GitHub https://gist.github.com/rmporsch/aa357fe7b16130bef64395f9e739712d 0 comments
- The Most Useful ML Tools 2020. 5 sets of tools every lazy full-stack… | by Ian Xiao | Towards Data Science https://towardsdatascience.com/the-most-useful-ml-tools-2020-e41b54061c58 0 comments
- Killer developer tools for machine learning with Lukas Biewald, founder/CEO of Weights & Biases (Practical AI #111) |> Changelog https://changelog.com/practicalai/111 0 comments
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