brain of mat kelcey...
an illustrative einsum example
May 27, 2020 at 12:00 AM | categories: talk, short_tute
code (and youtube walkthrough) of a port of some numpy code i did recently to einsum that i thought was illustrative.
measuring baseline random performance for an N way classifier
April 11, 2020 at 12:34 PM | categories: short_tute, three_strikes_rule
quick example code of a simple way to gauge baseline random performance.
deriving class_weights from validation data
March 03, 2020 at 06:00 PM | categories: short_tute, three_strikes_rule
quick example code demoing a way to derive class_weights from performance on validation data. this can often speed training up.
initing the biases in a classifer to closer match training data
February 27, 2020 at 12:00 PM | categories: short_tute, three_strikes_rule
some code showing how you can init the bias of classifier to match the base distribution of your training data.
minimal example of running pybullet under google cloud dataflow
January 29, 2020 at 12:00 AM | categories: short_tute
some code that demos how to run pybullet for generating a truck load of synthetic training under google cloud dataflow.
fully convolutional networks
April 06, 2018 at 06:00 PM | categories: short_tute
a short walkthrough explainer on fully convolutional networks.
popular posts...
FPGA wavenets : eurorack audio processing neural nets running at ~200,000 inferences/sec (oct 2023)
dithernet very slow movie player : a GAN that slowly plays a movie over a year on an eink screen (oct 2020)

evolved channel selection : neural networks robust to any subset of input channels, at any resolution (mar 2021)

ensemble nets : training ensembles as a single model using jax on a tpu pod slice (sept 2020)

bnn : counting bees with a rasp pi (may 2018)

drivebot : learning to do laps with reinforcement learning and neural nets (feb 2016)

wikipedia philosophy : do all first links on wikipedia lead to philosophy? (aug 2011)

some papers from my time at google research / brain...
- Natural Questions: a Benchmark for Question Answering Research
- Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping
- WikiReading: A Novel Large-scale Language Understanding Task over Wikipedia
my honours thesis
the co-evolution of cooperative behaviour (1997) evolving neural nets with genetic algorithms for communication problems.
old projects...
- latent semantic analysis via the singular value decomposition (for dummies)
- semi supervised naive bayes
- statistical synonyms
- round the world tweets
- decomposing social graphs on twitter
- do it yourself statistically improbable phrases
- should i burn it?
- the median of a trillion numbers
- deduping with resemblance metrics
- simple supervised learning / should i read it?
- audioscrobbler experiments
- chaoscope experiment