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aima-julia

Implementation of AIMA book by Norvig and Russell in Julia

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going).

cnn_examples

exploratory CNN examples

deep-voice-conversion

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

deepdream

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

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.

duckling

Probabilistic parser

econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

genderizer

R package for gender predictions

hacker101

Hacker101

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

keras-extras

Extra batteries for Keras

keras-frcnn

lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay

librosa

Python library for audio and music analysis

machine-learning-specialization

new

optimization

examples for various optimization problems in Python

plotly_beginner_plotting

Jupyter notebooks with simple plotly exercises

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

pytorch-a2c-ppo-acktr

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).

pytudes

Python programs, usually short, of considerable difficulty, to perfect particular skills.

quantmod

stockbay-assignment

classification models for stockbay assignment

visualization_centre

a collection of useful visualizations examples, Notebooks, Classes, etc. and organized with data