apachecn/ailearning
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
Topic: sklearn
9,743 repositories
MorvanZhou/tutorials
机器学习相关教程
charliedream1/ai_quant_trade
Stock AI Trader: 1-stop platform for learning, sim & live trading. Covers: stock basics, strategies, LLMs, factor mining, ML/DL/RL, graph nets, HFT, C++ deploy & JoinQuant code. 股票AI操盘手：一站式学习、模拟、实盘平台。涵盖：股票基础、策略、大模型、因子挖掘、机器学习/深度学习/强化学习、图网络、高频交易、C++部署及聚宽代码。
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！！】
nidhaloff/igel
a delightful machine learning tool that allows you to train, test, and use models without writing code
aws-samples/aws-machine-learning-university-accelerated-nlp
Machine Learning University: Accelerated Natural Language Processing Class
benedekrozemberczki/karateclub
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
robertmartin8/MachineLearningStocks
Using python and scikit-learn to make stock predictions
scikit-learn-contrib/MAPIE
A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
kitops-ml/kitops
An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.
jrieke/traingenerator
🧙 A web app to generate template code for machine learning
MemorialCheng/deep-learning-from-scratch
《深度学习入门-基于Python的理论与实现》，包含源代码和高清PDF(带书签)；慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》；《菜菜的机器学习sklearn》
nok/sklearn-porter
Transpile trained scikit-learn estimators to C, Java, JavaScript and others.
benedekrozemberczki/CapsGNN
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
ChawlaAvi/Daily-Dose-of-Data-Science
A collection of code snippets from the publication Daily Dose of Data Science on Substack: http://www.dailydoseofds.com/
ryfeus/lambda-packs
Precompiled packages for AWS Lambda
khuangaf/CryptocurrencyPrediction
Predict Cryptocurrency Price with Deep Learning
aws-samples/aws-machine-learning-university-accelerated-tab
Machine Learning University: Accelerated Tabular Data Class
ggeop/Python-ai-assistant
Python AI assistant 🧠
empathy87/The-Elements-of-Statistical-Learning-Python-Notebooks
A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
MentatInnovations/datastream.io
An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana
benedekrozemberczki/SimGNN
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
AutoViML/Auto_TS
Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.
emlearn/emlearn
Machine Learning inference engine for Microcontrollers and Embedded devices
anujvyas/Machine-Learning-Projects
This repository consists of all my Machine Learning Projects.
aashrafh/Mozart
An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.
HunterMcGushion/hyperparameter_hunter
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
x4nth055/emotion-recognition-using-speech
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
dformoso/sklearn-classification
Data Science Notebook on a Classification Task, using sklearn and Tensorflow.
kossisoroyce/timber
Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code. One command to load, one command to serve. 336x faster than Python inference.