Pinned Repositories
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.
Probabilistic-Programming
Probabilistic Programming with TensorFlow Probability, Edward and maybe(?) Pyro
PyTorch-Tutorials
Getting acquainted with PyTorch
Unsupervised-Representation-Learning
TensorFlow implementations of unsupervised representation learning algorithms, including denoising autoencoders, sparse dictionary learning, and Independent Component Analysis
MLPhasesOfMatter
PyTorch implementation of the paper "Machine Learning Phases of Matter", by Juan Carrasquilla and Roger Melko.
pranav-vempati's Repositories
pranav-vempati/Unsupervised-Representation-Learning
TensorFlow implementations of unsupervised representation learning algorithms, including denoising autoencoders, sparse dictionary learning, and Independent Component Analysis
pranav-vempati/Deep-Generative-Models
Keras and Theano implementations of various Deep Generative Models(e.g. Variational Autoencoders, Restricted Boltzmann Machines, and Generative Adversarial Networks)
pranav-vempati/backpropaganda-preproject
learning how to learn
pranav-vempati/cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
pranav-vempati/datamining
pranav-vempati/EigenNumpyBinder
Intended to exercise pybind11's Eigen/Numpy binding functionality
pranav-vempati/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.
pranav-vempati/Environments-Game
pranav-vempati/Functional-Programming
Functional Programming exercises from the EdX course
pranav-vempati/github-pages-with-jekyll
pranav-vempati/keras
Deep Learning for humans
pranav-vempati/keras_extensions
A collection of small extensions to Keras (RBM, momentum schedule, ..)
pranav-vempati/optim
A numeric optimization package for Torch.
pranav-vempati/pranav-vempati.github.io
pranav-vempati/Probabilistic-Programming
Probabilistic Programming with TensorFlow Probability, Edward and maybe(?) Pyro
pranav-vempati/probability
Probabilistic reasoning and statistical analysis in TensorFlow
pranav-vempati/pybind11
Seamless operability between C++11 and Python
pranav-vempati/PyBindExercises
Generating Python bindings from C++ with pybind11
pranav-vempati/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
pranav-vempati/PyTorch-Tutorials
Getting acquainted with PyTorch
pranav-vempati/scikit-learn
scikit-learn: machine learning in Python
pranav-vempati/tensorflow
Computation using data flow graphs for scalable machine learning
pranav-vempati/yolov3-tf2
YoloV3 Implemented in Tensorflow 2.0
pranav-vempati/HW3
pranav-vempati/MS-Project-Code
Dynamic Tree Construction Approach in MS Project