Code for Tensorflow Machine Learning Cookbook

numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法

A Julia machine learning framework

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

An open-source, low-code machine learning library in Python

This repository consists of all my Machine Learning Projects.

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

keras를 이용한 딥러닝 기초 학습

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

建立你的算法地图：如何高效学习算法；算法工程师：从小白到专家

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

Adaptive and Focusing Neural Layers for Multi-Speaker Separation Problem

The implementation of Relativistic average GAN with Keras

Code for polyaxon tutorials and examples

Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.

Implementation of different techniques to find insights from the satellite data using Python.

Python tutorials as Jupyter Notebooks for NLP, ML, AI

Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking