aaryanMontana

causalml

Uplift modeling and causal inference with machine learning algorithms

Nucleus-detection

Nuclei segmentation by Mask RCNN

amazon-sagemaker-from-idea-to-production-iris

automl

Google Brain AutoML

aws-cv-jumpstarter

Jump start your journey in Computer Vision on AWS

BayesCog_Wien

Teaching materials for BayesCog at Faculty of Psychology, University of Vienna

BayesianMMM

(ml) - python implementation of bayesian media mix modelling with shape and carryover effect

causal-book-code

cmdstanpy

CmdStanPy is a lightweight interface to Stan for Python users which provides the necessary objects and functions to compile a Stan program and fit the model to data using CmdStan.

CNTK

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

colab-mask-rcnn

How to run Object Detection and Segmentation on a Video Fast for Free

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

Emotion

:smile: Recognizes human faces and their corresponding emotions from a video or webcam feed. Powered by OpenCV and Deep Learning.

ExperimentData

Face-and-Emotion-Recognition

Realtime person's face recognize and can classify emotion using webcam, video or images.

face_detection

face detection with multiple methods

face_recognition

A real time face recognition pipeline

facenet

Face recognition using Tensorflow

FaceSwap

Swap face between two photos.

gitdemo

ImageAI

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

ludwig

Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

machine_learning_examples

A collection of machine learning examples and tutorials.

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mmlspark

Microsoft Machine Learning for Apache Spark

NLP-Web-Apps

Natural Language Processing Web Apps

notes-on-causal-inference

Some notes on Causal Inference, with examples in python

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

probability

Probabilistic reasoning and statistical analysis in TensorFlow

resources

PyMC3 educational resources