zyhuster1's repositories
Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
battery_digital_twin
This repository contains the scripts and preprocessed data to recreate the figures and results presented in the paper: A Comprehensive Review of Digital Twin - Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives
cmaes
Python library for CMA Evolution Strategy.
CVPR2023-Papers-with-Code
CVPR 2023 论文和开源项目合集
DA-WSOL_CVPR2022
Official implementation of the paper ``Weakly Supervised Object Localization as Domain Adaption"
Deep-Learning-Interview-Book
深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）
deepdistilling
Mechanistically interpretable neurosymbolic AI (Nature Comput Sci 2024): losslessly compressing NNs to computer code and discovering new algorithms which generalize out-of-distribution and outperform human-designed algorithms
EC-A-Modern-Perspective
Evolutionary Computation: A Modern Perspective ---> This is an (free) online book, which is actively updated now.
EMOC
Evolutionary Multiobjective Optimization Implementation in C++11
fanqiang
翻墙-科学上网
GNN-GBDT-Guided-Fast-Optimizing-Framework
GNN&GBDT-Guided Fast Optimizing Framework for Large-scale Integer Programming(Ye et al., ICML 2023): https://openreview.net/pdf?id=tX7ajV69wt
gpt_academic
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。
interpretable-ml-book
Book about interpretable machine learning
leedl-tutorial
《李宏毅深度学习教程》，PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
LightM-UNet
Pytorch implementation of "LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation"
lihang-code
《统计学习方法》的代码实现
mathematical-methods-in-deep-learning-ipython
Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhury with Ananya Ashok, Sujay Narumanchi, Devashish Shankar).
MCTS-VS
Official implementation of NeurIPS 22 paper "Monte Carlo Tree Search based Variable Selection for High-Dimensional Bayesian Optimization"
ml-pen-and-paper-exercises
Pen and paper exercises in machine learning
QDax
Accelerated Quality-Diversity
RD3D
RD3D: RGB-D Salient Object Detection via 3D Convolutional Neural Networks
seaborn
Statistical data visualization in Python
SegNeXt
Official Pytorch implementations for "SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation" (NeurIPS 2022)
ThinkPython2
LaTeX source and supporting code for Think Python, 2nd edition, by Allen Downey.
tikzit
pgf/TikZ diagram editor
TreedGP_MOEA
Treed GPs tailored for solving offline data-driven multiobjective optimization problems and handling large datasets
typora-latex-theme
将Typora伪装成LaTeX的中文样式主题，本科生轻量级课程论文撰写的好帮手。This is a theme disguising Typora into Chinese LaTeX style.
UniAD
[CVPR 2023 Best Paper] Planning-oriented Autonomous Driving