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Stock options, RSUs, taxes — read the latest edition: www.holloway.com/ec
For recording and retrieving metadata associated with ML developer and data scientist workflows.
KTH Algorithm Competition Template Library (... eller KTHs AC-tillverkande lapp)
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
ddclient updates dynamic DNS entries for accounts on a wide range of dynamic DNS services.
[ICLR 2020] NAS evaluation is frustratingly hard
AddressSanitizer, ThreadSanitizer, MemorySanitizer
Robust Learning Through Cross-Task Consistency [Best Paper Award Nominee, CVPR2020]
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Codebase for Image Classification Research, written in PyTorch.
Machine Learning Toolkit for Kubernetes
Fit interpretable models. Explain blackbox machine learning.
Debugging, monitoring and visualization for Python Machine Learning and Data Science
A lightning fast Finite State machine and REgular expression manipulation library.
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
TensorFlow code and pre-trained models for BERT
a fast, scalable, multi-language and extensible build system
Optimized primitives for collective multi-GPU communication