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Google DeepMind
- San Francisco Bay Area
- @Maciej_Kula
Stars
Reverse-mode automatic differentiation in Rust (experiment)
Efficiently computes derivatives of NumPy code.
Can neural networks order a scramble of words correctly?
TensorFlow tutorials and best practices.
TensorFlow implementation of an arbitrary order Factorization Machine
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Semantic Segmentation Architectures Implemented in PyTorch
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
Travis CI and AppVeyor template to test your Rust crate on 5 architectures and publish binary releases of it for Linux, macOS and Windows
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
A library for efficient similarity search and clustering of dense vectors.
A flexible thread pool providing scoped and static threads.
cross-platform Rust API for memory mapped IO