Efficient Batched Reinforcement Learning in TensorFlow
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Updated
Jan 11, 2019 - Python
Efficient Batched Reinforcement Learning in TensorFlow
Plot in NumPy arrays directly, overlay NumPy plots straight over video real-time, plot in Jupyter without a single loop
An Implementation of fuzzy clustering algorithms in Numpy
Two-point connectivity statistics computation for hydrological patterns
An ML+NLP solution for linking misspelled titles with the true titles
Vectorized implementation of the image binarization algorithm of Su et al. (2010)
Fast computation of the Boltzmann Entropy of a numerical or nominal 2-D data array.
In this repo I improve the performance of the LIBtft144 controller using numpy and vector operations, and use it to show in real-time the image stream from my raspberry-pi camera on a SPI 144 display
Automated, reproducible quantification of acridine-orange / ethidium-bromide (AO/EB) live-dead assays: field‐by‐field, image-agnostic, and ready for high-throughput screening.
For the UNICAMP's discipline of Introduction to Digital Image Processing
This is a teaching material aimed to demonstrate the powerfulness of the SPMD paradigm with MPI.
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