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backpropaganda-preproject

learning how to learn

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

datamining

deep-generative-models

Keras and Theano implementations of various Deep Generative Models(e.g. Variational Autoencoders, Restricted Boltzmann Machines, and Generative Adversarial Networks)

eigennumpybinder

Intended to exercise pybind11's Eigen/Numpy binding functionality

electionsentimentanalysis

Project that scrapes twitter for posts on Santa Cruz's 2018 Measure M. Performs sentiment analysis to determine user's stance on Measure M.

environments-game

functional-programming

Functional Programming exercises from the EdX course

github-pages-with-jekyll

hw3

keras

Deep Learning for humans

keras_extensions

A collection of small extensions to Keras (RBM, momentum schedule, ..)

optim

A numeric optimization package for Torch.

pranav-vempati.github.io

probabilistic-programming

Probabilistic Programming with TensorFlow Probability, Edward and maybe(?) Pyro

probability

Probabilistic reasoning and statistical analysis in TensorFlow

pybind11

Seamless operability between C++11 and Python

pybindexercises

Generating Python bindings from C++ with pybind11

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-tutorials

Getting acquainted with PyTorch

scikit-learn

scikit-learn: machine learning in Python

tensorflow

Computation using data flow graphs for scalable machine learning

unsupervised-representation-learning

TensorFlow implementations of unsupervised representation learning algorithms, including denoising autoencoders, sparse dictionary learning, and Independent Component Analysis

yolov3-tf2

YoloV3 Implemented in Tensorflow 2.0