5998 Open source projects that are alternatives of or similar to Coursera Deep Learning Deeplearning.ai

Conteúdo da primeira parte do curso de introdução a Data Science da Alura

Data science portfolio

Open-Source Tutorial For Analyzing and Visualizing Cryptocurrency Data

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

Stock Trading Bot using Deep Q-Learning

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

Python binding for Microsoft LightGBM

项亮的《推荐系统实践》的代码实现

Python bindings for the Openpose library

An empirical study on evaluation metrics of generative adversarial networks.

Another colab notebook!

《程序员面试金典》(cc150)

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

United States General Election Presidential Results by County from 2008 to 2016

一些爬虫和数据分析相关实战练习

Plain python implementations of basic machine learning algorithms

Tutorial on geospatial data manipulation with Python

A Deep Learning project to Toon Portrait Images

This repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection.

Repository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.

周志华《机器学习》阅读笔记

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

cs231n training camp

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

Distance-IoU Loss into YOLO v3

List of free online programming/CS courses [Massive Open Online Courses]

YOLOv3 implementation in TensorFlow 2.3.1

Tutorial: Natural Language Processing in Python

Notebook example of how to generate class visualizations with Caffe

Applying Reinforcement Learning in Quantitative Trading

Notebooks and various random fun

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

Teaching and Learning with Jupyter

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

Zeek Analysis Tools (ZAT): Processing and analysis of Zeek network data with Pandas, scikit-learn, Kafka and Spark

An educational demonstration of breaking the Enigma machine

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

platform for sleep hacking and research

Repository for most of the code from my YouTube channel

My Answer to 120 Data Science Interview Questions

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

Best Practices and Style Guides in BEEVA

Curso de Data Science em Português

Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do

Using multidimensional LSTM neural networks to create a forecast for Bitcoin price

中文版TA-Lib库使用教程

Core Data of HowNet and OpenHowNet Python API

Microsoft Quantum Development Kit Samples

Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.

This is a tensorflow re-implementation of Feature Pyramid Networks for Object Detection.