- GuangZhou China
- http://blog.csdn.net/jnulzl
- All languages
- Assembly
- Batchfile
- C
- C#
- C++
- CMake
- CSS
- Crystal
- Cuda
- Dart
- Dockerfile
- Emacs Lisp
- Fortran
- Go
- HTML
- Haskell
- Java
- JavaScript
- JetBrains MPS
- Julia
- Jupyter Notebook
- Kotlin
- LLVM
- Lua
- MATLAB
- MDX
- MLIR
- Makefile
- Markdown
- Mojo
- Objective-C
- Pascal
- PostScript
- PowerShell
- PureBasic
- Python
- Ruby
- Rust
- SCSS
- Scala
- Scheme
- Shell
- TeX
- TypeScript
- Vue
- Zig
Starred repositories
High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
A video translation and dubbing tool powered by LLMs, offering professional-grade translations and one-click full-process deployment. It can generate content optimized for platforms like YouTube,T…
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调(全参数/Lora)、部署国内外开源大模型(LLM)/多模态大模型(MLLM)教程
SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 16+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.
[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型
verl: Volcano Engine Reinforcement Learning for LLMs
Official Repo for Open-Reasoner-Zero
TinyEngine is a low-code engine based on which you can build or develop low-code platforms in different domains/TinyEngine是一个低代码引擎,基于这个引擎可以构建或者开发出不同领域的低代码平台
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
An open source implementation of CLIP.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Aligning pretrained language models with instruction data generated by themselves.
Code and documentation to train Stanford's Alpaca models, and generate the data.
A 4-hour coding workshop to understand how LLMs are implemented and used
A collection of various deep learning architectures, models, and tips
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Code Repository for Machine Learning with PyTorch and Scikit-Learn
CEduMEval : A Chinese educational multi-task evaluation benchmark
[ICML2024 (Oral)] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation
LoRA and DoRA from Scratch Implementations
This is the corresponding code for the book Transformers in Action
PyTorch入门教程,在线阅读地址:https://datawhalechina.github.io/thorough-pytorch/
Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"