Machine learning (ML) is a branch of artificial intelligence that enables software applications to improve their accuracy and effectiveness in predicting outcomes without being explicitly programmed to do so. Using algorithms that iteratively learn from data, ML allows applications to detect patterns, make decisions, and uncover insights in real-time, which can significantly enhance the user experience and operational efficiency. For application developers, ML offers a toolkit for building intelligent systems that can automate processes, personalize services, and handle complex data-driven tasks. Key components of ML include supervised learning, unsupervised learning, and reinforcement learning, each serving different types of problems and data structures. Developers can leverage a wide array of ML frameworks and libraries, such as TensorFlow, PyTorch, or Scikit-learn, which simplify the integration of machine learning models into applications. As the field continues to evolve, staying updated on emerging trends and techniques is crucial for developers aiming to implement cutting-edge ML solutions.
View the most prominent open source Machine learning projects in the list below. Click on a specific project to view its alternative or complementary packages. Make comparisons and find the best package for your app.
- An Open Source Machine Learning Framework for Everyone☆190,492Updated this week
- 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal model…☆146,154Updated this week
- Tensors and Dynamic neural networks in Python with strong GPU acceleration☆91,018Updated this week
- The fastest path to AI-powered full stack observability, even for lean teams.☆74,903Updated this week
- 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all☆73,283Updated 2 weeks ago
- 《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。☆70,242Updated 11 months ago
- List of Computer Science courses with video lectures.☆69,204Updated this week
- Tesseract Open Source OCR Engine (main repository)☆67,793Updated 3 weeks ago
- Deep Learning for humans☆63,155Updated this week
- scikit-learn: machine learning in Python☆62,447Updated this week
- The Patterns of Scalable, Reliable, and Performant Large-Scale Systems☆62,974Updated 2 weeks ago
- 🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, fee…☆61,444Updated 10 months ago
- The world's simplest facial recognition api for Python and the command line☆54,966Updated 10 months ago
- Deepfakes Software For All☆54,178Updated last month
- YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite☆54,370Updated last week
- Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.☆56,441Updated 3 weeks ago
- 100 Days of ML Coding☆47,513Updated last year
- The Julia Programming Language☆47,254Updated this week
- TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)☆43,664Updated 11 months ago
- Investment Research for Everyone, Everywhere.☆42,125Updated this week
- Ultralytics YOLO11 🚀☆42,328Updated this week
- Apache Airflow - A platform to programmatically author, schedule, and monitor workflows☆40,757Updated this week
- Streamlit — A faster way to build and share data apps.☆40,130Updated this week
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆39,740Updated 10 months ago
- DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.☆39,142Updated this week
- Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!☆38,779Updated this week
- 12 Weeks, 24 Lessons, AI for All!☆38,266Updated this week
- OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamical…☆37,391Updated 10 months ago
- AI-Powered Photos App for the Decentralized Web 🌈💎✨☆37,726Updated this week
- Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.☆37,737Updated this week
- Google Research☆35,870Updated this week
- Caffe: a fast open framework for deep learning.☆34,439Updated 11 months ago
- 吴恩达老师的机器学习课程个人笔记☆34,312Updated last year
- OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation☆32,676Updated 10 months ago
- Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purpos…☆32,185Updated last month
- 💫 Industrial-strength Natural Language Processing (NLP) in Python☆31,841Updated last month
- Visualizer for neural network, deep learning and machine learning models☆30,536Updated this week
- Roadmap to becoming an Artificial Intelligence Expert in 2022☆29,993Updated last year
- Cross-platform, customizable ML solutions for live and streaming media.☆30,374Updated this week
- Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.☆29,665Updated this week