Hacker News
- DiffEqFlux.jl – A Julia Library for Neural Differential Equations https://julialang.org/blog/2019/01/fluxdiffeq 14 comments
Linking pages
- Machine Learning: The Great Stagnation - by Mark Saroufim https://marksaroufim.substack.com/p/machine-learning-the-great-stagnation 218 comments
- The Future of Machine Learning and why it looks a lot like Julia 🤖 | by Logan Kilpatrick | Towards Data Science https://towardsdatascience.com/the-future-of-machine-learning-and-why-it-looks-a-lot-like-julia-a0e26b51f6a6 18 comments
- Estadistika https://estadistika.github.io/julia/python/packages/knet/flux/tensorflow/machine-learning/deep-learning/2019/06/20/Deep-Learning-Exploring-High-Level-APIs-of-Knet.jl-and-Flux.jl-in-comparison-to-Tensorflow-Keras.html 1 comment
- GitHub - mitmath/18S096SciML: 18.S096 - Applications of Scientific Machine Learning https://github.com/mitmath/18S096SciML 0 comments
- Neural ODEs: breakdown of another deep learning breakthrough | by Alex Honchar | Towards Data Science https://medium.com/@alexrachnog/neural-odes-breakdown-of-another-deep-learning-breakthrough-3e78c7213795 0 comments
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