ragavvenkatesan

Ragav Venkatesan's starred repositories

metrics

Machine learning metrics for distributed, scalable PyTorch applications.

Apache-2.0100

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Language:PythonMIT1396000

d-SNE

Implementation of our proposed algorithm in domain adaptation for image classification

Language:PythonApache-2.06600

amc

[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices

Language:PythonMIT42400

gluonts

Probabilistic time series modeling in Python

Language:PythonApache-2.0452100

A tool for the dual-head presentation of PDF slides on Mac OS X, most likely using a laptop and a projector. The project arose out of the need to correctly project slides created with LaTeX's beamer class.

Language:Objective-CMIT13700

gluon-cv

Gluon CV Toolkit

Language:PythonApache-2.0579600

Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Language:Python3789200

person-blocker

Automatically "block" people in images (like Black Mirror) using a pretrained neural network.

Language:PythonNOASSERTION202200

Awesome-GANs

Awesome Generative Adversarial Networks with tensorflow

Language:PythonMIT76000

Notes-RL

Collection of technical/paper notes related to reinforcement learning, with compact summary and detailed mathematical derivations.

Language:TeX100

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Language:Jupyter NotebookApache-2.0994300

mxnet-the-straight-dope

An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.

Language:Jupyter NotebookApache-2.0256000

ai-deadlines

:alarm_clock: AI conference deadline countdowns

Language:JavaScriptMIT555200

MLAlgorithms

Minimal and clean examples of machine learning algorithms implementations

Language:PythonMIT1070500

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

Language:PythonUnlicense730100

ASU-Dissertation-Template

LaTeX Template for Typesetting Arizona State University Dissertations and Theses

Language:TeX7000

cleverhans

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

Language:Jupyter NotebookMIT614600

improved-gan

Code for the paper "Improved Techniques for Training GANs"

Language:Python227900

Tensorflow-101

TensorFlow Tutorials

Language:Jupyter NotebookMIT300

AdversarialNetsPapers

Awesome paper list with code about generative adversarial nets

656100

stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

MIT258300

np-mil

Code for Ragav Venkatesan, Parag Shridhar Chandakkar, Baoxin Li "Simpler non-parametric methods provide as good or better results to multiple-instance learning." at the IEEE International Conference on Computer Vision (ICCV), Santiago, Chile, 2015.

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