6410 Open source projects that are alternatives of or similar to Quietnet

Some of my simple neural networks

Continual Learning tutorials and demo running on Google Colaboratory.

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

Applying Reinforcement Learning in Quantitative Trading

A newer more updated version of the prometheus anomaly detector (https://github.com/AICoE/prometheus-anomaly-detector-legacy)

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

Machine Learning for Algorithmic Trading, Second Edition - published by Packt

No description, website, or topics provided.

Human-explainable AI.

Tutorial: Natural Language Processing in Python

Official repository for the paper F, B, Alpha Matting

Tools for training and running detectors and classifiers for wildlife images collected from motion-triggered cameras.

Python-based utility that uses supervised machine learning to detect phishing domains from the Certificate Transparency log network.

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Rethinking Data Augmentation for Image Super-resolution (CVPR 2020)

A Deep Learning project to Toon Portrait Images

Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)

An educational demonstration of breaking the Enigma machine

Distance-IoU Loss into YOLO v3

Short Tutorial to Probabilistic Graphical Models(PGM) and pgmpy

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

Parallel computing in Python tutorial materials

抓取网易云音乐上所有歌曲的评论数量，并整理数据打造一个前端展示页面

A webcam-based 3x3x3 rubik's cube solver written in Python 3 and OpenCV.

A collection of Vue.js demos

Code from my experiments on Numerai

A series of Jupyter notebooks and python files which stream audio from a microphone using pyaudio, then processes it.

Cryptocurrency Price Prediction Using LSTM neural network

pytorch neural combinatorial optimization

RAD: Reinforcement Learning with Augmented Data

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

Book: Introduction to Python for Computational Science and Engineering

👩‍🔬 Train and Serve TensorFlow Models at Scale with Kubernetes and Kubeflow on Azure

A simple tool for generating useful evaluation metrics and plots for machine learning models

Practical Exercises in TensorFlow 2.0 for Ian Goodfellows Deep Learning Book

Introduction to Mathematical Computing with Python and Jupyter

The Go kernel for Jupyter notebooks and nteract.

Tutorial Materials for ICCV19

Pytorch starter kit for Kaggle competitions

Notebooks for the Altair tutorial

Noah Research

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

Notebooks and libraries for spatial/geo Python explorations

Useful functions, tutorials, and other Python-related things

api.nasa.gov

Tutorial on GANs

FC-DenseNet in PyTorch for Semantic Segmentation

Understanding computation in artificial and biological recurrent networks through the lens of dynamical systems.

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

A tutorial for widgets

📟 A React Renderer for SSD1306 OLED chip on Raspberry Pi.

Cookiecutter template for data scientists working with Docker containers

一些爬虫和数据分析相关实战练习