TranslatedGuidance for courses in Department of Computer Science and Technology, Tsinghua University
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TranslatedGuidance for courses in Department of Computer Science and Technology, Tsinghua University
This repository consists of the code samples, assignments, and notes for the Java data structures & algorithms + interview preparation bootcamp of WeMakeDevs.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
Assignments for CS146S: The Modern Software Dev (Stanford University Fall 2026/2025)
🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
Student version of Assignment 1 for Stanford CS336 - Language Modeling From Scratch
TranslatedCovers pre-training data, Tokenizer, Transformer, MoE,distributed training, Scaling Laws, inference & alignment .6 progressive code assignments for full-stack LLM learning
This repository consists of the code samples, assignments, and notes for the DevOps bootcamp of WeMakeDevs.
❤ Namaste React Live Course from Zero to Hero 🚀 by Akshay Saini(Founder of NamasteDev). This repository for Assignment & Class Notes taken during Namaste React Live Course #namaste #javascript #react
动手学CS146S中文版课程,包含assignments,vibe coding工具等,本项目将长期持续维护,致力于打造中文最好的vibe coding教程。
Language model alignment-focused deep learning curriculum
Assignments for CS294-112.
IT 140 Module Two assignment for developing a beginner Python name-and-age program while practicing the Software Development Life Cycle (SDLC), including analysis, design, construction, testing, and debugging.