Science
50 items across the graph — tagged with Science.
From the graph · 50
List of Computer Science courses with video lectures.
scikit-learn: machine learning in Python
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.
Best Practices on Recommendation Systems
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…
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Refine high-quality datasets and visual AI models
Fast and Accurate ML in 3 Lines of Code
Build, Manage and Deploy AI/ML Systems
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.
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…
The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
⚡ TabPFN: Foundation Model for Tabular Data ⚡
Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.
The Open Source Feature Store for AI/ML
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! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
2027 AI/ML internship & new graduate job list updated daily
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
Probabilistic time series modeling in Python
Lightning ⚡️ fast forecasting with statistical and econometric models.
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Machine Learning Pipelines for Kubeflow
Maestro: Netflix’s Workflow Orchestrator
High-Performance Symbolic Regression in Python and Julia
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
C++ DataFrame for statistical, financial, and ML analysis in modern C++
This repository is a curated collection of hands-on data science projects tailored for beginners. Whether you're just starting your journey in data science or l…
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and sca…
Single-cell analysis in Python. Scales to >100M cells.
The goal of CLAIMED is to enable low-code/no-code rapid prototyping style programming to seamlessly CI/CD into production.
Machine learning with dataframes
Unified multimodal backend for AI data apps
High-quality implementations of standard and SOTA methods on a variety of tasks.
Python Streaming DataFrames for Kafka
A toolkit for time series machine learning and deep learning
GRASS - free and open-source geospatial processing engine
Official public repository for PM4Py (Process Mining for Python) — an open-source library for exploring, analyzing, and optimizing business processes with Pytho…
Artemis - Interactive Learning with Automated Feedback
Annotated data.
Tree-Boosting, Gaussian Processes, and Mixed-Effects Models
ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our…