Linking pages
Linked pages
- GitHub - tensorflow/swift: Swift for TensorFlow https://github.com/tensorflow/swift 439 comments
- swift/WhySwiftForTensorFlow.md at main · tensorflow/swift · GitHub https://github.com/tensorflow/swift/blob/master/docs/whyswiftfortensorflow.md 180 comments
- JAX Quickstart — JAX documentation https://jax.readthedocs.io/en/latest/notebooks/quickstart.html 143 comments
- http://course.fast.ai/part2.html 115 comments
- GitHub - google/jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more https://github.com/google/jax 99 comments
- GitHub - google/trax: Trax — Deep Learning with Clear Code and Speed https://github.com/google/trax 50 comments
- Disqus – The #1 way to build your audience https://disqus.com 32 comments
- MLIR https://mlir.llvm.org/ 30 comments
- You don't know JAX https://colinraffel.com/blog/you-don-t-know-jax.html 12 comments
- NeurIPS 2019 Stats. The Thirty-third Annual Conference on… | by Diego Charrez | Medium https://medium.com/@dcharrezt/neurips-2019-stats-c91346d31c8f 3 comments
- Yoshua Bengio · From System 1 Deep Learning to System 2 Deep Learning · SlidesLive https://slideslive.com/38921750/from-system-1-deep-learning-to-system-2-deep-learning 3 comments
- Eric Jang: Differentiable Path Tracing on the GPU/TPU https://blog.evjang.com/2019/11/jaxpt.html 0 comments
- GitHub - HIPS/autograd: Efficiently computes derivatives of numpy code. https://github.com/HIPS/autograd 0 comments
- jax/cloud_tpu_colabs at main · google/jax · GitHub https://github.com/google/jax/tree/master/cloud_tpu_colabs 0 comments
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