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

An easy to use VR toolkit for Oculus Quest development using the Godot game engine

Generating multiple choice questions from text using Machine Learning.

Python技术 公众号文章代码实例

An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.

🏆 A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools). Updated weekly.

A benchmark dataset for data-driven weather forecasting

Some practices about deep learning

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

Repositório para armazenamento de código e notebooks de postagens do blog e cursos.

《统计学原理实验教程（Python）》书中代码实现。尽可能加注释，力求代码的可复用性。

Traffic Graph Convolutional Recurrent Neural Network

Code for YouTube series: Deep Learning for Audio Classification

State-of-the-Art Language Modeling and Text Classification in Hindi Language

Kaggle Struggle

[DEPRECATED] An IPython notebook-compatible Javascript/HTML viewer for matplotlib animations

[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting

Quantitative finance research tools in Python

CARTO Python package for data scientists

Repository for PyCon 2016 workshop Natural Language Processing in 10 Lines of Code

Paper: CVPR2018, Learning Rich Features for Image Manipulation Detection

18.335 - Introduction to Numerical Methods course

Some code examples gathered during my Month of Julia.

This something about deep learning on Coursera by Andrew Ng

Simplified implementations of deep learning related works

👩🏻‍⚕️Covid-19 estimation and forecast using statistical model; 新型冠状病毒肺炎统计模型预测 (Jan 2020)

Presentation Materials for my "Sound Analysis with the Fourier Transform and Python" OSCON Talk.

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

What scientific programmers must know about CPUs and RAM to write fast code.

A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution

A JavaScript bundle optimizer.

Notes, Codes, and Tutorials for the Deep Learning Course <which I taught at ChinaHadoop>

Simple plotting library that wraps Matplotlib and integrated with DataFrames

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube

Client side rendering of Jupyter notebooks

A fast and lightweight AutoML library.

NeMo: a toolkit for conversational AI

A highly efficient and modular implementation of Gaussian Processes in PyTorch

Using Project Jupyter for data science.

A library for debugging/inspecting machine learning classifiers and explaining their predictions

General Assembly's Data Science course in Washington, DC

Oriented Response Networks, in CVPR 2017

An implementation of the ideas from this paper https://arxiv.org/pdf/1803.10122.pdf

Data Engineering on Google Cloud Platform

Full Stack Data Science in Python

This repository contains the source code used to produce the results presented in the paper "Continuous-variable quantum neural networks". Due to subsequent interface upgrades, these scripts will work only with Strawberry Fields version <= 0.10.0.

Sample implementation of Neural Ordinary Differential Equations

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/.