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The Basic Knowledge of Torch Train Pipeline
Published:
Update:
这篇博客主要讲解 PyTorch 训练模型的整个流程的具体细节， 包括如何在前向过程中构建计算图；后向传播过程中如何计算并保存梯度；优化器如何根据梯度更新模型参数。(建议先阅读我之前关于 torch.autograd 的博客 The Basic Knowledge of PyTorch Autograd )
The Basic Knowledge of RLHF (Reinforce Learning with Human Feedback)
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这篇博客主要讲解关于 RLHF 的基础知识和训练 LLM 的具体(简易)代码实现.
VMware Workstation Pro 安装 MacOS 虚拟机
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这篇博客主要讲解如何在 VMware Workstation Pro 安装 MacOS 虚拟机。
The Basic Knowledge of MoE
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这篇博客主要讲解了使用 Mixture of Experts (MoE) 将多个模型进行组合的原理。
The Basic Knowledge of TorchScript
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这篇博客主要讲解了使用 TorchScript 将 Python 模型代码转化为其他语言代码(如 C++)的原理和具体实现。
The Basic Knowledge of Automatic Mixed Precision
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这篇博客主要讲解了使用自动混合精度(AMP)降低模型内存占用的原理和具体实现。
The Basic Knowledge of Gradient Penalty
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这篇博客主要讲解了使用梯度惩罚(gradient penalty)作为正则化项来促进模型学习的数学原理和具体实现。
The Basic Knowledge of PyTorch Autograd
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这篇博客主要介绍了 PyTorch 的 autograd 机制及其具体实现方式。
The Basic Knowledge of PyTorch Distributed
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这篇博客主要介绍了 LLM 分布式并行的训练方式，并着重讲解了 PyTorch 代码的实现 DDP 的方式。
PyTorch 随笔
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torch.backends.cudnn.deterministic: 固定 cuda 的随机种子，使得每次返回的卷积算法都是确定的，即默认算法
The Basic Knowledge of Computer Hardware
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这篇博客主要介绍了电脑硬件中的基础知识(ps；强烈安利 B 站硬件茶谈的硬件科普视频，讲的太好了🙂。虽然他现在恰饭有点多😥)
The Basic Knowledge of LLM
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这篇博客主要介绍了 Large Language Model 的基础知识，包括常见的 LLM，微调方式等。
Animate Anyone
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论文题目：Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation
The Basic Knowledge of Expectation Maximization Algorithm
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这篇博客参考了 通俗理解EM算法，详细推导了 Expectation Maximization (EM) 算法。
PixelDance
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The Basic Knowledge of NLP
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这篇博客主要介绍了 NLP 任务中的基础知识，包括性能评价指标(metrics)，分词算法(tokenization)等。
The Advanced Knowledge of Diffusion Model (DM)
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这篇博客参考了 What are Diffusion Models?，继续详细讲述了最近大火的 DM 模型的改进的数学原理/推导及编程 (ps：DM 的基础知识详见 The Basic Knowledge of Diffusion Model (DM))。
Emu series (Emu & Emu Edit & Emu Video)
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本文主要对近期 Meta 发表的三篇关于视觉处理的文章(Emu 系列)进行论文解读(按照它们的发布顺序)： 首先是 SOTA 的 text-to-image 生成模型 Emu；接着以它为 baseline，进行 image edit 的研究改进，提出了一个大一统的图像编辑模型 Emu Edit， 这基本上就把图像领域主流的任务都刷了个遍。最后又提出了 Emu Video 模型，利用 Emu 完成了对 text-to-video 生成模型的改进，也获得了 SOTA。 (ps：我猜下一步应该就是 video edit 的研究改进了🙂)
The Basic Knowledge of Scored-based Generative Model
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这篇博客参考了 Generative Modeling by Estimating Gradients of the Data Distribution， 详细讲述了最近大火的 Diffusion Model 的另一个理解/推理角度: Score-based Generative Model 的数学原理及编程。 (ps：建议先看完上述的 Generative Modeling by Estimating Gradients of the Data Distribution 博客，虽然是全英文的，但是写的十分详细，且简单易懂，真的非常良心)
Consistency Model
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论文题目：Consistency Models
TIN-SLT
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SLT-BT
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论文题目：Improving Sign Language Translation with Monolingual Data by Sign Back-Translation
The Basic Knowledge of Diffusion Model (DM)
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这篇博客参考了 DDPM讲解，详细讲述了最近大火的 DM 模型的数学原理/推导及编程(ps：强烈安利 Lil 的博客，写的太好了🙂)。
Multi-modality with Context
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论文题目：Is Context all you Need? Scaling Neural Sign Language Translation to Large Domains of Discourse
笔记本电脑固态硬盘更换扩容
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这篇博客主要讲解只有一个固态硬盘(SSD)槽的笔记本电脑在需要扩容的简便操作(无需重装系统)。
SLTUnet
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论文题目：SLTUNET: A Simple Unified Model for Sign Language Translation
PGen
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论文题目：Scaling Back-Translation with Domain Text Generation for Sign Language Gloss Translation
Transformer
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Glossification with Editing Program
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论文题目：Transcribing Natural Languages for the Deaf via Neural Editing Programs
ConvNets Match Vision Transformers at Scale
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MDM
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The Basic Knowledge Of Latex 2
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这篇博客延续 The Basic Knowledge Of Latex，继续扩展关于 latex 的基本用法。
MQ-Det
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GLIP
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latex 问题合集
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这篇博客主要记录我在使用 latex 的过程中所遇到的问题和解决的方法(注：有些问题可能我自己也不知道原理，但是所有的解决方法都是亲测有效)。
The Basic Knowledge Of Latex
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这篇博客主要记录了 latex 的基本知识和用法，适用于第一次听到 latex 这个写作排版工具的小白。
ShearedLLaMA
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论文题目：Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
iTransformer
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论文题目：iTransformer: Inverted Transformers Are Effective for Time Series Forecasting
PaclMap
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论文题目：Multipattern Mining Using Pattern-Level Contrastive Learning and Multipattern Activation Map
portfolio
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publications
手绘场景下的图像识别与智能转化方法、系统及计算机可读介质
under review in 国 家 知 识 产 权 局, 2023
本发明属于图像识别与人机交互技术领域， 涉及手绘流程草图的识别及其计算机可编辑标准格式的生成， 具体涉及手绘场景下的图像识别与智能转化方法、系统及计算机可读介质。
Recommended citation: 蔡建峰. (2023). "手绘场景下的图像识别与智能转化方法、系统及计算机可读介质" 国家知识产权局.
Flowmind2Digital
reviewed in Multidisciplinary Digital Publishing Institute Electronics, 2023
This paper proposes the Flowmind2digital method and hdFlowmind dataset to address the convertion of hand-drawn flowchart/mindmap.
Recommended citation: Cai Jianfeng. (2024). "Flowmind2Digital: The First Comprehensive Flowmind Recognition and Conversion Approach." arXiv preprint arXiv: 2401.03742, 2024. http://arxiv.org/abs/2401.03742
HCLNet
under review in International Society for Photogrammetry and Remote Sensing, 2023
This paper proposes a Heterogeneous Network based on Contrastive Learning (HCLNet). HCLNet aims to learn high-level representation from unlabeled PolSAR data for few-shot classification according to multi-features.
Recommended citation: Cai Jianfeng. (2024). "Contrastive Learning-Based Heterogeneous Network for PolSAR Land Cover Classification." arXiv preprint arXiv: 2403.19902, 2024. https://arxiv.org/abs/2403.19902
Edit-Attn Code Reproduction
completed in GitHub and Paperwithcode, 2024
The Code Reproduction of the paper: Transcribing Natural Languages for the Deaf via Neural Editing Programs.
Recommended citation: Cai Jianfeng. (2024). " Don't need the reference format, just use it. Support Open Source 🤗 !" Open.
talks
The Second Price of National Undergraduate Mathmatical Modeling Contest
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I participated in the 2022 years National Undergraduate Mathmatical Modeling Contest, chose the topic of B, and finally was awarded as the Second Price.
The First Price of National Undergraduate Mathmatical Contest
Published:
I participated in the 2022 years National Undergraduate Mathmatical Contest, and finally was awarded as the First Price.
teaching
Study experience-Undergraduate
Undergraduate, Artifical Intelligence Turing Class, the School of Artifical Intelligence, Xidian University, 2020
I completed my undergraduate studies in Xidian University from 2020 to 2024.