Science
50 items across the graph — tagged with Science.
From the graph · 50
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
List of Computer Science courses with video lectures.
scikit-learn: machine learning in Python
Deep Learning for humans
The Julia Programming Language
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Streamlit — A faster way to build and share data apps.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
:memo: An awesome Data Science repository to learn and apply for real world problems.
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Pytho…
Best Practices on Recommendation Systems
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
🦉 Data Versioning and ML Experiments
🔥Highlighting the top ML papers every week.
The "Python Machine Learning (1st edition)" book code repository and info resource
Low-code framework for building custom LLMs, neural networks, and other AI models
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Refine high-quality datasets and visual AI models
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Fast and Accurate ML in 3 Lines of Code
Build, Manage and Deploy AI/ML Systems
Data science interview questions and answers
A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration,…
A unified framework for machine learning with time series
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
A python library for user-friendly forecasting and anomaly detection on time series.
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks fo…
ModelScope: bring the notion of Model-as-a-Service to life.
🧙 Build, run, and manage data pipelines for integrating and transforming data.
The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causa…
⚡ TabPFN: Foundation Model for Tabular Data ⚡
An open source python library for automated feature engineering
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Line…
The Open Source Feature Store for AI/ML
Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.
Become a cracked AI/ML Research Engineer
Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible wi…
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
🏅 Collection of Kaggle Solutions and Ideas 🏅
Statistical Machine Intelligence & Learning Engine
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
2027 AI/ML internship & new graduate job list updated daily
🌊 Online machine learning in Python
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
:sunglasses: A curated list of awesome MLOps tools
Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark