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Translated100-Days-Of-ML-Code Chinese version
- machine-learning
- python
- 100-days-of-ml-code
- chinese-simplified
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
- deep-learning
- mit
- self-driving-cars
- deep-reinforcement-learning
"Context engineering is the delicate art and science of filling the context window with just the right information for the next step." — Andrej Karpathy. A frontier, first-principles handbook inspired by Karpathy and 3Blue1Brown for moving beyond prompt engineering to the wider discipline of context design, orchestration, and optimization.
A collection of machine learning examples and tutorials.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
A course in reinforcement learning in the wild
- reinforcement-learning
- course-materials
- deep-learning
- deep-reinforcement-learning
Assignments for CS146S: The Modern Software Dev (Stanford University Fall 2026/2025)
Repo for the Deep Reinforcement Learning Nanodegree program
- deep-reinforcement-learning
- reinforcement-learning
- reinforcement-learning-algorithms
- neural-networks
This repo contains the Hugging Face Deep Reinforcement Learning Course.
- deep-reinforcement-learning
- reinforcement-learning
- reinforcement-learning-excercises
- deep-learning
🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.
- agent
- agentic
- agentic-ai
- agentic-rl
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
- reinforcement-learning
- machine-learning
- artificial-intelligence
- deep-reinforcement-learning
Contenido y ejercicios del JSCamp InfoJobs
- bootcamp
Deep Reinforcement Learning
Translated"Large Language Models" (《大语言模型》), authors: Zhao Xin, Li Junyi, Zhou Kun, Tang Tianyi, Wen Jirong
- artificial-intelligence
- deep-learning
- deep-neural-networks
- deep-reinforcement-learning
The repository host gives no description.
Synapsa Commons: free, hands-on AI courses that run anywhere (Colab, Kaggle, Binder, Codespaces, Jupyter). EU AI Act conformity evidence, model validation, predictive maintenance, document extraction, retrieval and RAG, AI agents and MCP, a simulated humanoid. Every lesson autograded. From the team building Synapsa.
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
- deep-reinforcement-learning
- qlearning
- deep-learning
- tensorflow-tutorials
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
- cnn
- rnn
- detection
- classification
Intro to Reinforcement Learning (强化学习纲要)
Open Machine Learning course
- machine-learning
- python
- course
- deep-learning
All notes and materials for the CS229: Machine Learning course by Stanford University
- machine-learning
- stanford-university
- neural-networks
- cs229
A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译
Student version of Assignment 1 for Stanford CS336 - Language Modeling From Scratch