konradbachusz-zz Goto Github PK

adthena_assessment

ai_doctor

ai_for_music_composition

This is the code for "AI for Music Composition" by Siraj Raval on Youtube

ai_startup_prototype

This is the code for "Watch Me Build an AI Startup" By Siraj Raval on Youtube

airflow

Apache Airflow

alibi

Algorithms for monitoring and explaining machine learning models

alphalens

Performance analysis of predictive (alpha) stock factors

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker

analysis

repo for practical data science problems approaches, including notebook demo and working scripts

artgallery

Using new Augmented Reality techniques to build a AR Art Gallery

audio-classification-w.-convolutional-neural-networks

Can we build an NN that can tell the difference between Stephen Colbert and Conan O'Brien

auto-sklearn

Automated Machine Learning with scikit-learn

automated-feature-engineering

Automated feature engineering in Python with Featuretools

awesome-ai-ml-dl

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

awesome-flutter

An awesome list that curates the best Flutter libraries, tools, tutorials, articles and more.

awesome-public-datasets

A topic-centric list of HQ open datasets in public domains. PR ☛☛☛

bank_account_cpp

Simple bank account program written in C++

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace and more

bitcoin-trader-rl

A profitable cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym

blocks

A Theano framework for building and training neural networks

boruta_py

Python implementations of the Boruta all-relevant feature selection method.

bsuite

bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent

building-a-cnn-in-keras-tutorial

This notebook goes along with my CNN article on Medium

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.

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

chatbot-workshop

Instructions to create a chatbot and deploy to Slack

coding_tests

cool_data_tools

Useful data science and AI utilities

coursera-machine-learning

Coursera Machine Learning - Python code

covid19foodsupply_web_app

Web Scrapers from the covid19foodsupply project