Olivier Grisel (ogrisel)

ogrisel
Website
http://oliviergrisel.name/
Location
Paris
Member since

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  1. david
  2. gawel
  3. olauzanne
  4. dwf
  5. ogrisel

Following (12)

  1. ianb
  2. david
  3. brunobord
  4. benoitc
  5. ogrisel

Recent activity

  1. Olivier Grisel

    1. commented on pull request #2 in pyleargist

    2. began following Nuxeo FUSE

    3. committed to libsgd

      8a4d719ee2a7 fix indent

      1a55de402d15 temporary hack to work with wikiformat pictures

    4. deleted mdp

    5. deleted mdp

    6. began following pimpy

    7. committed to gumby

      13f5c9ac334d experimental branch to use more numpy arrays instead of python list to spare memory and calls to malloc

      262f72cf4e56 fix style + train a model by default

      91984b1e4644 smaller default dimensions + added timing information

      9b72a63365c8 ignore ctags index file

      d6a3810f65ec use 32bit floats by default to spare some memory

      898a220f76c2 make it possible to store the training set of a 1 layer experiment for later usage

      f5d27b85dfe4 make Layer.build_training_set() public

    8. began following stellaris

Repositories

  1. cloudmole

    Text-mining on the cloud with machine learning and Hadoop MapReduce in Scala

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  2. ctypes_sse

    Minimal sample program to reproduce a segmentation fault when calling a function

    with SSE intrinsics from python using ctypes.

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  3. gumby

    Experimental project to implement a cortical inference model with python / scipy and support vector machines. The goal is too devise a new time series forecasting ML tool able to infer abstract representations of the input data to build better estimates.

    The main idea is to build a layered structure of simple predictive units (linear autoregressive models, logistic regression units, SVM with kernels or two-layers perceptron locally trained with backprop) and make the prediction errors flow up from the lowest level units while the upper level units give their estimates of future prediction error to the lowest units.

    The project is still in an early alpha development stage. Please feel free to take a look at the source code and contact us by IRC on #gumby on freenode.org.

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  4. libsgd

    libsgd is a SSE optimized C library with Python bindings (using ctypes)

    The goal of libsgd is to provide an optimized implementation of

    backpropagatable modules as a base for efficient machine learning

    algorithms such as feed forward multi layer perceptron, stacked

    autoencoders, linear support vector machines solved in the primal and

    potentially more.

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  5. og.lab

    Personnal branch to host experimental code not yet part of any identified project per se.

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  6. pyleargist

    GIST Image descriptor for scene recognition.

    cython / numpy wrapper of the PSL'd C implementation by the LEAR team:

    http://lear.inrialpes.fr/software

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  7. pyprof2calltree

    Script to help visualize profiling data collected with the cProfile python module with the kcachegrind graphical calltree analyser.

    This is a rebranding of the venerable http://www.gnome.org/~johan/lsprofcalltree.py script to make it easier to distribute on pypi and behave more like the scripts of the debian kcachegrind-converters package.

    The final goal is to make it part of the official upstream kdesdk.

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  8. virtualkeyring

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