#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, ... 🧠
#大语言模型#Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
#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.
#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...
#自然语言处理#FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
#计算机科学#Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
#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
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
#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!!
#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#PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
#计算机科学#Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
#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.
#计算机科学#This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)