
Highlights
- Pro
- All languages
- ASP
- AutoHotkey
- C
- C#
- C++
- CMake
- COBOL
- CSS
- Clojure
- CoffeeScript
- Common Lisp
- Component Pascal
- Cuda
- Dockerfile
- EJS
- Elixir
- Fortran
- GDB
- Go
- HTML
- Haskell
- Java
- JavaScript
- Julia
- Jupyter Notebook
- Kotlin
- LLVM
- Less
- Lua
- MATLAB
- MDX
- MLIR
- Makefile
- Mathematica
- Mojo
- Nunjucks
- OCaml
- Objective-C
- Objective-C++
- PHP
- Pascal
- Python
- Roff
- Ruby
- Rust
- SCSS
- Scala
- Shell
- SuperCollider
- Swift
- TeX
- TypeScript
- V
- Vim Script
- Visual Basic .NET
- Vue
- xBase
Starred repositories
CS294/194-196 Large Language Model Agents
CS294/194-196 Large Language Model Agents
仅需Python基础,从0构建大语言模型;从0逐步构建GLM4\Llama3\RWKV6, 深入理解大模型原理
Python® package enables you to open a MATLAB® desktop in a web browser tab.
📝 卡片式改稿助手 | 基于 AI 的可视化文稿润色工具,支持提示词编辑、文本块编排和智能优化,让写作更轻松、更专业。
Materials for the Hugging Face Diffusion Models Course
iterative Linear Quadratic Regulator practice
✨ AI-powered coding, seamlessly in Neovim
从无名小卒到大模型(LLM)大英雄~ 欢迎关注后续!!!
A digital logic designer and circuit simulator.
Linux running inside a PDF file via a RISC-V emulator
Using PCA and Autoencoder to extract effective features from face images. Comparison of the two on Yale Face Database B.
Construct inequalities for comparison between π or e and a rational number, using definite integrals. Useful for some one-liner proofs of such relationships. Attention is all you need!
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
some notes about the basic knowledge of machine learning and data mining
EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling.
Unifying 3D Mesh Generation with Language Models
RooVetGit / Roo-Code
Forked from cline/clineRoo Code (prev. Roo Cline) gives you a whole dev team of AI agents in your code editor.
Janus-Series: Unified Multimodal Understanding and Generation Models
A Flexible Framework for Experiencing Cutting-edge LLM Inference Optimizations
✔(已完结)最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!