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andrewng-deeplearning

微专业: 吴恩达 深度学习工程师 作业

astroml

Machine learning, statistics, and data mining for astronomy and astrophysics

census-classifier-comparison

A descriptive comparison between different supervised classifier and neural network

coded_aperture

Coded Aperture Ranging is a research project conducted at Cornell University in SIOS Lab with my advisor Professor Savransky. With a modified aperture shape, a monocular camera is able to conduct depth estimation and generate an all-focused image from a single captured image.

courseware

In this repository you will find TinyML course syllabi, assignments/labs, code walkthroughs, links to student projects, and lecture videos (where applicable).

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

dyninst

DyninstAPI: Tools for binary instrumentation, analysis, and modification.

elk

elk_configurations

foundation_applied_machine_learning

A repo for notebooks, and homework for Foundation of Applied Machine Learning @ University of California, Riverside

heart-disease

XGBoost Analysis on UCI Heart Disease Data

jfrog-docker-repo-simple-example

Getting started with JFrog Docker Repos - Example

kdtreepathtraceroptimization

KD tree optimization for path tracing

kibana

:bar_chart: Kibana analytics and search dashboard for Elasticsearch

machine-learning-andrewng-solutions

All the solutions from the programming assignments of the Machine Learning Course in Coursera taught by Andrew NG, Professor of Stanford University

machine_learning_refined

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

metagpt

🌟 The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo

ml

ml-and-map-estimation-of-poisson-distribution

MLE and MAP estimation

multilabelclassificationexample

ogunlao.github.io

Writing about my AI experiences, papers, and codes.

opencover

A code coverage tool for .NET 2 and above (WINDOWS OS only), support for 32 and 64 processes with both branch and sequence points

prediction-of-wine-quality

This project is about the prediction of red wine quality using different machine learning algorithms

proleap-vb6-parser

ProLeap ANTLR4-based parser for Visual Basic 6.0

pystdf

Python module for working with STDF files

rich

Rich is a Python library for rich text and beautiful formatting in the terminal.

roslyn

The Roslyn .NET compiler provides C# and Visual Basic languages with rich code analysis APIs.

sample-namespace-packages

Tests against namespace packages

samples

Sample code referenced by the .NET documentation

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

statistical-learning-methods

Implement Statistical Leanring Methods, Li Hang the hard way. 李航《统计学习方法》一书的硬核 Python 实现