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Browse Posts by Tag
- Large Language Models 5
- Reinforcement learning 4
- Aerial Robotics 3
- PX4 2
- Thoughts 2
- Deployment 2
- Photography 1
- Python 1
Large Language Models
The Llama 3 Herd of Models
LLaMA3 技术报告的简要分析。
LLaMA 2: Open Foundation and Fine-Tuned Chat Models
Abstract: In this work, we develop and release Llama 2, a collection of pretrained and fine-tuned large language models (LLMs) ranging in scale from 7 billio...
LLaMA: Open and Efficient Foundation Language Models
LLaMA (Large Language Model Meta AI) is a series of foundational language models developed by Meta AI. The LLaMA models are designed to be efficient and effe...
Transformer: Attention is All You Need
1. Overall Architecture
Reinforcement learning
RL 100
1. Triage
A Tutorial on CQL and Cal-QL: From Offline Conservatism to Online Fine-Tuning
This guide reviews two important algorithms in reinforcement learning, Conservative Q-Learning (CQL) and Calibrated Q-Learning (Cal-QL), explaining the probl...
From Q-learning to Soft Actor Critic
We shall introduce the foundation of value-base RL algos, Q-learning. Then from Q-learning to DQN, A2C, and finally to SAC.
From Policy Gradient to Proximal Policy Optimization
Basis of Policy Gradient methods, from PG to PPO.
Aerial Robotics
T-Motor F60Pro Kv2550 Parameters
T-Motor F60Pro Kv2550 建模所需参数。
MC Rate Control PX4 1.13 Release
Multicopter Rate Control in PX4 1.13 Release.
3D Rigid Motion
三维空间刚体运动，参考自《视觉SLAM十四讲》
PX4
Make PX4 from Git Clone
Build PX4-Autopilot from source code.
MC Rate Control PX4 1.13 Release
Multicopter Rate Control in PX4 1.13 Release.
Thoughts
石头房子的雨
父亲电话打来的时候，很平静，语气里带着些扭捏和不好意思，可他说的却是那样重的话，“在哪呢”，“在学校呢”，“周末能请假吗，你爷爷走了”。我从未想过，父亲会用一种近乎请求的语气，告诉我这个消息，那是一个下午，从上海到家乡的车只有一班，已经赶不上了。“那就明天回来吧，跟老师请好假，到家了有人接你”。
“工贼”问题研究
转载自 大浪淘沙，赵皓阳同志，所有权利归原作者所有。
Deployment
显示器挑选指南
专业修图显示器选购指南
Port Shifts Solution with udev
Using udev to Create Persistent Device Paths
Photography
Wallpapers Took by Me
I took these photos in the past few years. I uploaded some of them to my 500px(cn) account, and I will share them here. Hope you like them and take a tour t...
Python
The Bottleneck of Numpy due to Different Version
Check the MKL or OpenBLAS version of NumPy.