Posts
subscribe via RSS
Drafts
-
(LTS) Jekyll tutorial
-
(LTS) 前端基础知识
-
(P1) Swin Transformer 浅析
-
(LTS) 排版样例
-
(DEAD) HMM-GMM Based ASR (Auto Speech Recogition)
-
(LTS) 手动实现神经网络层
-
(P1) grep/find/sed/awk tutorial
-
(P1) DLHLP2020学习笔记1——语音识别
-
(P1) 自动微分
-
(P1) Python Binding Other Language
-
(LTS) Python Snippets
-
(P1) GPT-1，2，3，instructGPT，chatGPT
-
(P1) DETR
-
(P1) VIT、ViLT、MAE
-
(Alpha) T5 详解
-
(LTS) Tensor Ops
-
(READY) bert 详解
-
(DEAD) LLMs Survey
-
(Alpha) Tokenizer 详解
-
(DEAD) Memory efficient training
-
(Alpha) Memory efficient inference (🤗's dispatch and offload)
-
(P1) Transformers Building Blocks
-
(P1) Pytorch 性能分析工具
-
(Alpha) GPTQ 详解
-
(LTS) 线性代数回顾
-
(Alpha) Auto-GPTQ 浅析
-
(P1) 🤗 optimum
-
(P1) RWKV 浅析
-
(P1) Transformers 变体
-
(P1) OpenAI ChatGPT/GPT4 使用
-
(P1) ChatGLM 相关介绍
-
(DEAD) SuperGLUE 数据集介绍
-
(P1) 🤗 Transformers Trainer API
-
(P1) Streamlit Tutorial
-
(P1) flask tutorial
-
(Alpha) 🤗 Hub
-
(P1) Python 文件与 IO
-
(LTS) Pytorch 源码学习 (草稿杂录)
-
(P1) Huggingface PEFT
-
(P1) LLM.int8 详解
-
(LTS) huggingface summary
-
(Alpha) Stanford Alpaca
-
(DEAD) huggingface cheatsheet
-
(Alpha) Pytorch Distributed Data Parallel
-
(Alpha) FP16 训练
-
(P1) ZeRO (deepspeed & pytorch fsdp)
-
(P1) torch.distributed 总览及底层工具
-
(LTS) Basics of CPU and GPU
-
(LTS) 资源与计划
-
(P1) LangChain
-
(P0) Pytorch Quantization
-
(P0) torch.fx
-
(P0) llama_index
-
(Ready) ReAct
-
(P0) 通义千问-Overviw
-
(READY) Socket and HTTP
-
(P1) Embedding Models
-
(Alpha) Text Splitter for LLMs
-
(LTS) Advanced LLM Prompts & Retrieval & Agents
-
(Alpha) pydantic tutorial
-
(LTS) Python Internal
-
(LTS) 大模型应用层工具
-
(P1) Langchain-ChatChat 浅析
-
(P1) 多进程/多线程/协程 (for Python)
-
(Alpha) WSGI & ASGI
-
(Alpha) Python 包管理与CI/CD开发工具
-
(P1) VSCode 使用记录
-
(P1) Python import 相关
-
(LTS) Latex Tikz
-
(Ready) tiktoken 详解
-
(Ready) QWen-VL 浅析
-
(P1) GitHub Action 简介
-
(P1) FastChat 简介
-
(P1) Event
-
(Refactor) FastAPI tutorial
-
(P0) DDPM 浅析
-
(P0) VAE 浅析
-
(P1) Opendevin 项目探索