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breast-cancer-detection

AI app to detect breast cancer in histopathological database

breast_cancer_classifier

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

bs-detector

A browser extension that alerts users to unreliable news sources.

bsd

Bias Statement Detector (BSD) computationally detects and quantifies the degree of bias in sentence-level text of news stories.

btb

Bayesian Tuning and Bandits: a simple, extensible library for developing AutoML systems.

build-an-ai-startup-with-pytorch

test

bux_articles

Scripts used for articles published at Inside BUX

canm

This code provide the CANM algorithim for causal discovery. Please cite "Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao. Causal Discovery with Cascade Nonlinear Additive Noise Models. IJCAI 2019."

capsule_networks

This is the code for "Capsule Networks: An Improvement to Convolutional Networks" by Siraj Raval on Youtube

caret

caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models

cartpole

OpenAI's cartpole env solver.

cartpole-1

A CartPole Agent for training and running OpenAI Gym's CartPole environment.

casapythonport

Python code that implements the DUET blind source separation algorithm. Converted from the MATLAB code from here - https://github.com/yvesx/casa495

cascade

This repo contains code to detect sarcasm from text in discussion forum using deep learning

catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

catboost-tutorial

A small tutorial to demonstrate the power of CatBoost Algorithm

catboost-viewer

Standalone application for plotting charts with different training statistics in a browser.

causal-cmd

causal-deconvolution-of-networks

Algorithmic Causal Deconvolution of Networks by Generative Mechanism

causal-graphs

causal-inference-tutorial

Repository with code and slides for a tutorial on causal inference.

causal-rl

causal-text-embeddings-tf2

Tensorflow 2 implementation of Causal-BERT

causal-text-papers

causalchains

causaldag

Python package for the creation, manipulation, and learning of Causal DAGs

causaldiscoverytoolbox

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

causalgan

causalgraphicalmodels

Causal Graphical Models in Python

causalgraphs_latex

Drawing graphical models for causal inference using LaTeX