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bottom-up-attention

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

btree

Binary Search Tree implementation and related operations

caption_generator

A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.

cassandra

Basic Operations using cassandra

catboost

CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R

causality

Tools for causal analysis

charngram

Creating Character NGram Probability from list of strings

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

chexnet-keras

This project is a tool to build CheXNet-like models, written in Keras.

cirq

A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.

cnn-visualization

TensorFlow implementations of visualization of convolutional neural networks, such as Grad-Class Activation Mapping and guided back propagation

cnn_finetune

Fine-tune CNN in Keras

communitydetection

KDD Course Project - Implementation of Community Detection Algorithms and Evaluations and Some Datasets

crcf

Combination Robust Cut Forests: Merging Isolation Forests and Robust Random Cut Forests

credit-card-fraud-detection-using-autoencoders-in-keras

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

criteo-1tb-benchmark

Benchmark of different ML algorithms on Criteo 1TB dataset

ctci-6th-edition-python

Cracking the Coding Interview 6th Ed. Python Solutions

cvxopt

CVXOPT -- Python Software for Convex Optimization

d3-jupyter-tutorial

dancenet

DanceNet - Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)

darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

darkon

Toolkit to Hack Your Deep Learning Models

dat4

General Assembly's Data Science course in Washington, DC

data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes

datasketch

MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++

datastream.io

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

dcscn-super-resolution

A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep-learning-papers-reading-roadmap

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

deep-voice-conversion

Deep neural networks for voice conversion (voice style transfer) in Tensorflow