6446 Open source projects that are alternatives of or similar to Bayesian Optimization

Tensorflow notes

《统计学习方法》的代码实现

A (very incomplete) project that combines machine learning with music.

A neural network that transforms a design mock-up into a static website.

Example Machine Learning Scripts for Numerai's Tournament

Home for Elasticsearch examples available to everyone. It's a great way to get started.

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

This is the code for the "Classifying Data using Gradient Descent" by Siraj Raval on Youtube

Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.

Implemented digit detector in natural scene using resnet50 and Yolo-v2. I used SVHN as the training set, and implemented it using tensorflow and keras.

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

PyTorch implementation of VQ-VAE by Aäron van den Oord et al.

Deep learning based speech source separation using Pytorch

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

This repository contains all the material for the MLTrain NIPS workshop

OrangeC Compiler And Tool Chain

The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe Deep Learning Framework as an extension of Caffe source code published in 10/2015.

emoji2vec: Learning Emoji Representations from their Description

2018-JDDC大赛第4名的解决方案

Trading Bot with focus on Evolutionary Algorithms and Machine Learning

The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.

Machine Learning for finance and investment introduction

Interactive JavaScript and TypeScript programming with Jupyter

Ten Simple Rules for Writing and Sharing Computational Analyses in Jupyter Notebooks

An example attention network with simple dataset.

Collection of Python tools for the modeling and solution of Mixed-Integer Linear programs

Python library for reading and writing well data using Log ASCII Standard (LAS) files

A PyTorch implementation of GraphRel

📓 deepleaning and cv notes.

Open Source Landmarking Library

Data Cleaning Libraries with Python

Various examples for Google Earth Engine in Python using Jupyter Notebook

Statistical Rethinking (2nd ed.) with NumPyro

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

This repository contains my python (3) script examples that focus on use cases for Network Engineers.

Respository for Open-Science modular microscope system.

Starter files for Pluralsight course: Understanding Machine Learning with Python

Train and Deploy Simple Machine Learning Model With Web Interface - Docker, PyTorch & Flask

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

LSTMS for Predictive Maintenance

Devenez Data-Scientist sur Le Wagon On Demand

我的强化学习笔记和学习材料📖 still updating ... ...

Find lane lines on the road using Python and OpenCV, applying Canny edge detectors and Hough line transforms

Sohu's 2018 content recognition competition 1st solution(搜狐内容识别大赛第一名解决方案)

Deploy AutoML as a service using Flask

An implementation of some of the tools used by the winner of the box plots competition using scikit-learn.

GeostatsPy Python package for spatial data analytics and geostatistics. Mostly a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) in Python. Geostatistics in a Python package. I hope this resources is helpful, Prof. Michael Pyrcz

Wi-Fi Geolocation Spoofing with the ESP8266

Coherent Semantic Attention for image inpainting(ICCV 2019)

Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph

Implementing of the "A Neural Algorithm of Artistic Style"

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

A tutorial on TensorFlow

Deep Learning / NLP tutorial for Chatbot Developers

Tacotron 2 - PyTorch implementation with faster-than-realtime inference

TensorFlow Tutorials

A web frontend for scheduling Jupyter notebook reports

虾神的Python示例代码库

An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.