Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
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- machine-learning
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Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
TranslatedHeima Programmer (黑马程序员, "Dark Horse Programmer") 120-day full-stack blockchain development open-source tutorial
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🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴
Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
Statistical Rethinking course winter 2022
Homepage for STAT 157 at UC Berkeley
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
The fast.ai course notebooks
All notes and materials for the CS229: Machine Learning course by Stanford University
校招、秋招、春招、实习好项目!带你从零实现一个高性能的深度学习推理库,支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译
A complete course for learning Bitcoin programming and usage from the command
Basic Sources for MIT 6.824 Distributed Systems Class
Learn how to automate faceless short-form + long-form video content and dominate YouTube, TikTok, Facebook & Instagram on autopilot — from idea → script → video → scheduled posts.
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
A no-fluff and highly practical masterclass that reignites engineering curiosity and helps SDE-2, SDE-3, and above become great at designing, implementing, and shipping scalable, fault-tolerant, and highly available systems at the workplace.
Devops Tutorial for Beginners - Learn Docker, Kubernetes, Terraform, Ansible, Jenkins and Azure Devops
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Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
Learn to code securely while having fun through our popular open source in-editor experience, designed for developers, students, and anyone curious about security. Get started for free in under 2 minutes, playing right from your browser.
OS Lectures 2022 Spring in Dept. CS, Tsinghua Univ.
Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia