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Visualization of data structures and algorithms using Python and Tkinter
A Project dedicated to making GPU Partitioning on Windows easier!
Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud.
AI coding tools that give free Claude Opus/Sonnet, GPT-5, Gemini Pro, and other pro-grade models
VIP cheatsheet for Stanford's CME 295 Transformers and Large Language Models
Bonus materials, exercises, and example projects for our Python tutorials
Video+code lecture on building nanoGPT from scratch
Data Structures and Algorithms using Python
Python best practices guidebook, written for humans.
A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".
Data files to accompany the algorithms from Norvig And Russell's "Artificial Intelligence - A Modern Approach"
C# implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Exercises for the book Artificial Intelligence: A Modern Approach
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Official Repository for NeurIPS 2025 Paper: "A Theoretical Study on Bridging Internal Probability and Self-Consistency for LLM Reasoning"
A Transformer Implementation in C++ and CUDA
Dataset of GPT-2 outputs for research in detection, biases, and more
Code for the paper "Language Models are Unsupervised Multitask Learners"
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Linux distro for AI computers. Go from bare-metal GPUs to running AI workloads - like vLLM, SGLang, RAG, and Agents - in minutes, fully automated with AI Linux (Sbnb Linux).
Code samples for the Understanding Windows x64 Assembly tutorial.
A Sample ASM 64 Project on Visual Studio 2019
Source Code for 'Beginning x64 Assembly Programming' by Jo Van Hoey
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.