brain of mat kelcey...
yolz; you only look o̶n̶c̶e̶ zero times
October 26, 2024 at 06:45 PM | categories: keras3, jax
zero shot object detection in kera3 jax
differentiable kalman filters in jax
March 29, 2024 at 06:45 PM | categories: jax
kalman filters have numerous parameters to tune, why not roll them out with jax and use backprop to fit them
high performance ML with JAX
September 12, 2021 at 12:30 PM | categories: jax, talk
did a talk ay pycon on jax. check out the recording!
evolved channel selection
March 01, 2021 at 10:20 PM | categories: projects, ga, jax
rather than use all 13 channels in a multi spectral image for classification can we train a model that is robust to all combos, at all resolutions, and use a genetic algorithm to choose which are the most valuable? (spoiler; yes)
crazy large batch sizes
February 14, 2021 at 10:30 PM | categories: quick_hack, tpu, jax
a quick hack to see how fast we can get a v3-32 pod slice cranking with a global batch size of 170,000; tl-dr pretty fast!
solving y=mx+b... with jax on a tpu pod slice
February 07, 2021 at 01:00 PM | categories: tpu, ensemble_nets, jax, projects, haiku
a 4 (and a bit) part tutorial / colab / screencast series starting with jax fundamentals working up a data parallel approach to running on a cloud tpu pod slice... all focused on solving the toughest problem in machine learning; 1d y=mx+b
out of distribution detection using focal loss
December 02, 2020 at 01:00 PM | categories: objax, jax, projects
a series of small experiments on using focal loss to do out of distribution detection
dithernet very slow movie player
October 21, 2020 at 10:30 PM | categories: gan, jax, projects, objax
a GAN experiment to generate dithers for an eink screen minimising pixel change between frames for a very slow movie player.
ensemble networks
September 17, 2020 at 06:30 AM | categories: objax, projects, ensemble_nets, jax
ensemble nets; using jax vmap to batch over not just the inputs of a model but also sets of multiple models parameters.
metric learning for image similarity search in objax
September 02, 2020 at 12:00 PM | categories: objax, metric_learning, jax
an objax tutorial on using contrastive learning for image similarity.
a jax random embedding ensemble network
June 15, 2020 at 06:30 AM | categories: ensemble_nets, jax
random embedding networks can be used to generate weakly labelled data for contrastive learning and can be run in single model ensembles as a single forward pass in jax.
popular posts...
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)
cartpole++ : deep RL hacking with a complex 3d cart pole environment (aug 2016)
malmomo : deep RL hacking on minecraft with malmo (jan 2017)
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