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Browse Posts by Tag
- Large Language Models 5
- Reinforcement learning 4
- Aerial Robotics 3
- PX4 2
- Photography 1
- Python 1
- Thoughts 1
- Deployment 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.
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.
Thoughts
“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
Port Shifts Solution with udev
Using udev to Create Persistent Device Paths