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Jake Graving's Projects

opencv icon opencv

Open Source Computer Vision Library

opentsne icon opentsne

Extensible, parallel implementations of t-SNE

parametric-t-sne icon parametric-t-sne

Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.

paratext icon paratext

A library for reading text files over multiple cores.

perceiver-pytorch icon perceiver-pytorch

Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch

pinpoint icon pinpoint

pinpoint is a Python library for generating and tracking 2D barcode tags.

pixel-cnn icon pixel-cnn

Code for the paper "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"

polar-transformer-networks icon polar-transformer-networks

Demo source code for the paper "Esteves, C., Allen-Blanchette, C., Zhou, X. and Daniilidis, K, "Polar Transformer Networks", ICLR 2018.

pose-hg-demo icon pose-hg-demo

Code to test and use the model from "Stacked Hourglass Networks for Human Pose Estimation"

practical-pytorch icon practical-pytorch

PyTorch tutorials using neural networks (especially RNNs) for natural language processing

probability icon probability

Probabilistic reasoning and statistical analysis in TensorFlow

pydtw icon pydtw

A python/numpy/cython implementation of dynamic time warping (DTW) for aligning time series.

pymdp icon pymdp

A Python implementation of active inference for Markov Decision Processes

pynic icon pynic

Nonparametric Information Theoretic Clustering

pypwt icon pypwt

A CUDA implementation of the Wavelet Transform

pytorch-made icon pytorch-made

MADE (Masked Autoencoder Density Estimation) implementation in PyTorch

radon-transform_schultz-gu icon radon-transform_schultz-gu

We present two Matlab-based routines, Radon_inverse and Radon_forward, that perform discrete inverse and forward Radon transforms. These frequency-based methods offer the user flexible choices among multiple regularization methods and path functions. They are designed for simplicity and flexibility, and the Matlab foundation ensures portability between platforms. Both Radon_inverse and Radon_forward could be readily adapted or modified for a broad range of geophysical applications.

research icon research

comma.ai for the people to experiment with

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