LLM notes, including model inference, transformer model structure, and llm framework code analysis notes.
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Updated
Aug 1, 2026 - Python
LLM notes, including model inference, transformer model structure, and llm framework code analysis notes.
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
DISTWAR atomic reduction optimization on "3D Gaussian Splatting for Real-Time Radiance Field Rendering".
A memory profiler for NVIDIA GPUs to explore memory inefficiencies in GPU-accelerated applications.
GPU CI/CD tool that tests CUDA kernels across multiple GPUs in parallel - Part of RightNow
Fundamentals of heterogeneous parallel programming with CUDA C/C++ at the beginner level.
Experimental YOLOv5 AI Aimbot using an Arduino Leonardo as a hardware HID bridge. Demonstrates how to bypass software-based input restrictions for educational purposes.
RocAuc Pairiwse objective for gradient boosting
Building upon original repo, trying to implement encoder-decoder transformer using CUDA
bilibili视频【CUDA 12.x 并行编程入门(Python版)】配套代码
Spiral's Machine Learning Library
Ion dynamic simulation program
用于复现和优化常见的深度学习算子,基于cuda和triton两种方案,可供学习和参考
GPU porgamming CUDA is the repo that has all the list of my materials that I used for the CUDA . I learned CUDA myself and this material helped me get the basic strong .
Custom skills for Claude to search CUDA-X library documentation.
Una piccola AI che il suo picco massimo di risposta è stato di 0.02 secondi di risposta | Konata ~ 2025
Pygame-powered version of the classic board game with an intelligent AI opponent with multiplayer mode support.
Local Autonomous CUDA Optimization Agent — A closed-loop tool that uses a local LLM to read, modify, compile, profile, and repair CUDA kernels automatically
ASC Homework 1-3
AI-powered stock trading program that uses neural networks to predict market trends and execute trades via the Alpaca API. Built with PyTorch for GPU acceleration.
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