Stars
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
Jupyter metapackage for installation and documentation
Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
A Python implementation of global optimization with gaussian processes.
Python bindings to interesting matlab libraries for data analysis
Exiting VIM is hard; sometimes we need to take drastic measures
A curated list to learn about distributed systems
Python library for building highly effective data science workflows
On the Variance of the Adaptive Learning Rate and Beyond
An implementation of CoDeepNEAT using pytorch with extensions
TensorFlow - A curated list of dedicated resources http://tensorflow.org
A curated list of automated machine learning papers, articles, tutorials, slides and projects
An implementation for our paper: CsiGAN: Robust Channel State Information-based Activity Recognition with GANs (IEEE Internet of Things Journal, 2019), which is the semi-supervised Generative Adver…
Testing framework to simplify writing ML unit tests.
scikit-learn: machine learning in Python
Code for IEEE Communication Magazine (A Survey on Behaviour Recognition Using WiFi Channle State Information)
Transfer learning for time series classification
TensorFlow binaries supporting AVX, FMA, SSE
A neural attention model for speech command recognition
Digital signal processing for neural time series.