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A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Secure open source cloud runtime for AI apps & AI agents
Multi agent system for AI-driven software development. Combine LLM with DevOps tools to convert natural language requirements into working software. Supports any development language and extends th…
Jupyter notebooks for teaching/learning Python 3
🏅 Collection of Kaggle Solutions and Ideas 🏅
Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）
Convert PDF to HTML without losing text or format.
Powerful and flexible web-based server management control panel
The development repo for the Primer on Bézier curves, https://pomax.github.io/bezierinfo
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
A collaboratively written review paper on deep learning, genomics, and precision medicine
UMich 500-Level Mobile Robotics Course
Python data repo, jupyter notebook, python scripts and data.
R-script for generating canonical diagrams of distributions to be used to describe Bayesian hierarchical models.
A tool to map bisulfite converted sequence reads and determine cytosine methylation states
A collection of Galaxy-related training material
18.S096 - Applications of Scientific Machine Learning
Online course on data visualization analysis, design & construction with D3.js.
Automated Data Analysis leveraging llms
An R package to test for batch effects in high-dimensional single-cell RNA sequencing data.
Automated generation of tailored bioinformatics Jupyter Notebooks via a user interface.