machine-learning
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
Repositories (1414)
Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosophy of Paramet...
This repository includes tutorials on how to use the TensorFlow estimator APIs to perform various ML tasks, in a systematic and standardised way
A Real-time Mario Kart 64 AI using ConvNets.
Code for Kaggle Data Science Competitions
《机器学习宝典》包含：谷歌机器学习速成课程（招式）+机器学习术语表（口诀）+机器学习规则（心得）+机器学习中的常识性问题 （内功）。该资源适用于机器学习、...
Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA
State of AI
An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)
Python implementation of KNN and DTW classification algorithm
Temporary home for fastai v2 while it's being developed
Preparing for machine learning interviews
Lazydata: Scalable data dependencies for Python projects
Resources, datasets, papers on Question Answering
Python package for stacking (machine learning technique)