#算法刷题#计算机科学视频课程汇总。涵盖基础介绍、数据结构与算法、数据库人工智能、软件工程、机器学习、Web技术、嵌入式、网络安全、图片处理与机器视觉、区块链等等
#计算机科学#59 篇深度学习论文的实现,并带有详细注释。包括 transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 强化学习 (ppo, dqn), capsnet, distillation, ... 🧠
#计算机科学#Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
翻译 - 一个快速简单的框架,用于构建和运行分布式应用程序。 Ray与RLlib(可扩展的强化学习库)和Tune(可扩展的超参数调整库)打包在一起。
#自然语言处理#精选大公司分享他们在生产中关于数据科学 & 机器学习的论文和技术博客等资源
#自然语言处理#Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
翻译 - 包含代码,数学和讨论的交互式深度学习书。在多框架中可用。
#计算机科学#The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement lea...
翻译 - Unity机器学习代理工具包
#计算机科学#Machine learning, in numpy
翻译 - 机器学习,以数字表示
#计算机科学#Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
翻译 - 深度学习模型和数据集的库,旨在使深度学习更易于访问并加速ML研究。
#自然语言处理#FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
#大语言模型#《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
Python Implementation of Reinforcement Learning: An Introduction
翻译 - 强化学习的Python实现:简介
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
翻译 - Bullet Physics SDK:用于VR,游戏,视觉效果,机器人技术,机器学习等的实时碰撞检测和多物理场仿真。
#自然语言处理#Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
翻译 - 通过从这些令人兴奋的演讲中学习,可以深入学习深度学习,强化学习,机器学习,计算机视觉和自然语言学习!
#计算机科学#A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
#计算机科学#Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
翻译 - 示例笔记本示例展示了如何在Amazon SageMaker中应用机器学习,深度学习和强化学习
#计算机科学#PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
翻译 - 稳定基线的PyTorch版本,增强学习算法的改进实现。
#计算机科学#The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
翻译 - 🔥用于可视化和跟踪机器学习实验的工具。此存储库包含CLI和Python API。
#计算机科学#TensorFlow Tutorials with YouTube Videos
#计算机科学#Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
翻译 - 简单钢筋学习教程