TheSpiritofKa's Stars
johnsmith2078/edge-tts-gui
用Qt编写的简单微软Edge文本转语音GUI
majinqiawa/xxn
非正常人类研究中心 存储**大陆各类非正常女性所为的非正常案件,欢迎补充
xtekky/gpt4free
The official gpt4free repository | various collection of powerful language models
apachecn/pyda-2e-zh
:book: [译] 利用 Python 进行数据分析 · 第 2 版
apachecn/hands-on-ml-zh
:book: [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题,网站已下线!!】
Hentioe/policr-mini
专注于验证的 Telegram 机器人
microsoft/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.
dmlc/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
dair-ai/ML-Papers-Explained
Explanation to key concepts in ML
zeke-xie/adaptive-inertia-adai
[ICML 2022, Oral] The PyTorch Implementation of Adaptive Inertia Methods. The algorithms are based on our paper: "Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum".
heucoder/dimensionality_reduction_alo_codes
特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
DSL-Lab/GRBM
Gaussian-Bernoulli Restricted Boltzmann Machines
fastai/course22
The fast.ai course notebooks
fastai/fastai
The fastai deep learning library
sfeng-m/tree-model
Tree model with detailed explanation
Jack-Cherish/Machine-Learning
:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
zhaoxingfeng/RandomForest
随机森林,Random Forest(RF)
wangzhe3224/pyca
A more general Python Cellular Automata with multi-dimensions and multi-cell type mix
facebookincubator/AITemplate
AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.
ml874/Data-Science-Cheatsheet
michaeldorner/DecisionTrees
Seminar work "Decision Trees - An Introduction" with presentation, seminar paper, and Python implementation
Erikfather/Decision_tree-python
决策树分类(ID3,C4.5,CART)
benedekrozemberczki/awesome-decision-tree-papers
A collection of research papers on decision, classification and regression trees with implementations.
Freemanzxp/GBDT_Simple_Tutorial
python实现GBDT的回归、二分类以及多分类,将算法流程详情进行展示解读并可视化,庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision Trees
WenDesi/lihang_book_algorithm
致力于将李航博士《统计学习方法》一书中所有算法实现一遍
Dod-o/Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法
wzyonggege/statistical-learning-method
《统计学习方法》笔记-基于Python算法实现
fengdu78/lihang-code
《统计学习方法》的代码实现
diff-usion/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
YangLing0818/Diffusion-Models-Papers-Survey-Taxonomy
Diffusion model papers, survey, and taxonomy