diff options
Diffstat (limited to 'documentation/bookmark/artificial_intelligence/machine_learning.md')
| -rw-r--r-- | documentation/bookmark/artificial_intelligence/machine_learning.md | 13 |
1 files changed, 13 insertions, 0 deletions
diff --git a/documentation/bookmark/artificial_intelligence/machine_learning.md b/documentation/bookmark/artificial_intelligence/machine_learning.md index 0487c5626..69d028aa9 100644 --- a/documentation/bookmark/artificial_intelligence/machine_learning.md +++ b/documentation/bookmark/artificial_intelligence/machine_learning.md @@ -1,15 +1,22 @@ # Transformer +0. []() 0. [Transformers from scratch](http://www.peterbloem.nl/blog/transformers) # Exemplar +0. []() 0. https://ml5js.org/ 0. https://www.csie.ntu.edu.tw/~cjlin/libsvm/ 0. http://halide-lang.org/ # Reference +0. []() +0. [Predibase: Declarative ML](https://predibase.com/) + 0. [ludwig: Data-centric declarative deep learning framework](https://github.com/ludwig-ai/ludwig) + 0. [horovod: Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.](https://github.com/horovod/horovod) +0. [AutoML: Automated Machine Learning](https://www.automl.org/automl/) 0. [Why are ML Compilers so Hard?](https://petewarden.com/2021/12/24/why-are-ml-compilers-so-hard/) 0. ["Multi-Level Intermediate Representation" Compiler Infrastructure](https://github.com/tensorflow/mlir) 0. [Sampling can be faster than optimization](https://www.pnas.org/content/116/42/20881) @@ -31,10 +38,12 @@ # Inductive logic programming +0. []() 0. [Inductive logic programming at 30: a new introduction](https://arxiv.org/abs/2008.07912) # Deep learning +0. []() 0. [GAME2020 4. Dr. Vincent Nozick Geometric Neurons](https://www.youtube.com/watch?v=KC3c_Mdj1dk) 0. [Evolution Strategies](https://lilianweng.github.io/lil-log/2019/09/05/evolution-strategies.html) 0. [Monadic Deep Learning: Performing monadic automatic differentiation in parallel](https://deeplearning.thoughtworks.school/assets/paper.pdf) @@ -51,20 +60,24 @@ # Tensor +0. []() 0. http://nlp.seas.harvard.edu/NamedTensor.html 0. http://nlp.seas.harvard.edu/NamedTensor2 # Meta-learning +0. []() 0. https://blog.fastforwardlabs.com/2019/05/22/metalearners-learning-how-to-learn.html 0. https://www.bayeswatch.com/2018/11/30/HTYM/ 0. https://bender.dreem.com/ # Model +0. []() 0. http://onnx.ai/ # Training +0. []() 0. https://ai.googleblog.com/2019/03/introducing-gpipe-open-source-library.html |