Raghavendra Kotikalapudi

HomeHarvest. Python package for scraping real estate property data

teslacam-browser. A very simple TeslaCam browser

deap. Distributed Evolutionary Algorithms in Python

horovod. Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Good-Papers. I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

LOUPE. Tensorflow toolbox implementing several learnable pooling architecture

computer_vision_tutorial. An intro to computer vision course created for Amazon's machine learning university

lucid. A collection of infrastructure and tools for research in neural network interpretability.

neural-networks-and-deep-learning. Code samples for my book "Neural Networks and Deep Learning"

playground. PlayGround: AI Research into Multi-Agent Learning.

tensorforce. Tensorforce: a TensorFlow library for applied reinforcement learning

mlcrate. A python module of handy tools and functions, mainly for ML and Kaggle

AutonomousDrivingCookbook. Scenarios, tutorials and demos for Autonomous Driving

tensorboardX. tensorboard for pytorch (and chainer, mxnet, numpy, ...)

receptivefield. Gradient based receptive field estimation for Convolutional Neural Networks

system-design-primer. Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

pytorch. Tensors and Dynamic neural networks in Python with strong GPU acceleration

practice-python. Part of my daily plan for studying Python.

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/.

StarSpace. Learning embeddings for classification, retrieval and ranking.

ML-From-Scratch. Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

nitrain. Train AI models efficiently on medical images using any framework

deep-learning-with-python-notebooks. Jupyter notebooks for the code samples of the book "Deep Learning with Python"

word_ordering. Can neural networks order a scramble of words correctly?

text_classification. all kinds of text classification models and more with deep learning

gpustat. 📊 A simple command-line utility for querying and monitoring GPU status

Imaginary-Numbers-Are-Real. Code To Accompany YouTube Series Imaginary Numbers Are Real

cloudml-samples. Cloud ML Engine repo. Please visit the new Vertex AI samples repo at https://github.com/GoogleCloudPlatform/vertex-ai-samples

neat-python. Python implementation of the NEAT neuroevolution algorithm

foolbox. A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

stack-overflow-import. Import arbitrary code from Stack Overflow as Python modules.

jupyshare. Python

cnnvis-pytorch. visualization of CNN in PyTorch

pytorch-examples. Simple examples to introduce PyTorch

DSB2017. Code for 2nd place solution to the 2017 National Data Science Bowl

deep-viz-keras. Implementations of some popular Saliency Maps in Keras

keract. Layers Outputs and Gradients in Keras. Made easy.

reinforcement-learning. Minimal and Clean Reinforcement Learning Examples

ml4a. A python library and collection of notebooks for making art with machine learning.

tensorflow. An Open Source Machine Learning Framework for Everyone

hierarchical-attention-networks. Implementation of Hierarchical Attention Networks as presented in https://www.cs.cmu.edu/~diyiy/docs/naacl16.pdf

moniel. Interactive Notation for Computational Graphs

visdom. A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy https://visdom.dev

deep-photo-styletransfer. Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511

deep-learning-papers. Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

plumo. Python

kfs. Keras for Science

sonnet. TensorFlow-based neural network library

improved_wgan_training. Code for reproducing experiments in "Improved Training of Wasserstein GANs"

convnet-designer. A utility for designing Convolutional Neural Networks

keras-contrib. Keras community contributions

MatLung. A Matlab script that implements the basis of the Lung Nodules candidates detection.

youtube-8m. Starter code for working with the YouTube-8M dataset.

practical-pytorch. Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

models. Models and examples built with TensorFlow

hellotensor. f331 7h3 134rn

nc-fish-classification. Scripts/notebooks for The Nature Conservancy's fish classification competition

machine-learning-for-software-engineers. A complete daily plan for studying to become a machine learning engineer.

VNet. Python

convnet-study. Python

WassersteinGAN. Python

nodule-seg. tools for segmenting lung nodules with classical image processing

keras-inceptionV4. Keras Implementation of Google's Inception-V4 Architecture (includes Keras compatible pre-trained weights)

ml-videos. A collection of video resources for machine learning

minpy. NumPy interface with mixed backend execution

dynet. DyNet: The Dynamic Neural Network Toolkit

DenseNet. DenseNet implementation in Keras

net2net.torch. Implementation of http://arxiv.org/abs/1511.05641 that lets one build a larger net starting from a smaller one.

DeepLearningImplementations. Implementation of recent Deep Learning papers

neural-style. Theano+Keras implementation of style transfer algorithms.

sgd-feedback. Jupyter Notebook

ai-on.org. AI•ON projects repository and website source.

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

ipynb_playground. Various ipython notebooks

cnn-vis. Use CNNs to generate images

keras-rtst. "Real-Time Style Transfer" with Keras

deepdraw. Notebook example of how to generate class visualizations with Caffe

keras-resources. Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

keras-rl. Deep Reinforcement Learning for Keras.

awesome-deep-learning-papers. The most cited deep learning papers

travis-sphinx. A standalone script for automated building and deploying of sphinx docs via travis-ci

quiver. Interactive convnet features visualization for Keras

seya. Bringing up some extra Cosmo to Keras.

lutorpy. Use torch in python for deep learning.

paper-notes. Random notes on papers, likely a short-term repo.

image-analogies. Generate image analogies using neural matching and blending.

keras-fractalnet. FractalNet implementation in Keras: Ultra-Deep Neural Networks without Residuals

srez. Image super-resolution through deep learning

imgaug. Image augmentation for machine learning experiments.

Augmentor. Image augmentation library in Python for machine learning.

dcgan_code. Deep Convolutional Generative Adversarial Networks

conv_arithmetic. A technical report on convolution arithmetic in the context of deep learning

PokemonGo-DesktopMap. Electron App around PokemonGo-Map

keras. Deep Learning for humans

ultrasound-nerve-segmentation. Deep Learning Tutorial for Kaggle Ultrasound Nerve Segmentation competition, using Keras

facenet. Face recognition using Tensorflow

tflearn. Deep learning library featuring a higher-level API for TensorFlow.

hualos. Keras Total Visualization project

keras-model-zoo. Keras Model Zoo