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Google DeepMind
- San Francisco Bay Area
- @Maciej_Kula
Stars
A simple, extensible LLM client for Emacs
Reverse-mode automatic differentiation in Rust (experiment)
Efficiently computes derivatives of NumPy code.
Can neural networks order a scramble of words correctly?
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task. Monitoring with TensorBoard. Other visua…
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 library for factorization machines and polynomial networks for classification and regression in Python.