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☆190,885Updated this week
- 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal model…☆147,503Updated this week
- Tensors and Dynamic neural networks in Python with strong GPU acceleration☆91,886Updated this week
- The fastest path to AI-powered full stack observability, even for lean teams.☆75,206Updated this week
- 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all☆75,646Updated last week
- 《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。☆71,114Updated last year
- List of Computer Science courses with video lectures.☆69,460Updated 3 weeks ago
- Tesseract Open Source OCR Engine (main repository)☆68,407Updated 3 weeks ago
- Deep Learning for humans☆63,240Updated this week
- scikit-learn: machine learning in Python☆62,818Updated this week
- The Patterns of Scalable, Reliable, and Performant Large-Scale Systems☆63,555Updated this week
- 🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, fee…☆62,184Updated last week
- The world's simplest facial recognition api for Python and the command line☆55,117Updated 11 months ago
- Deepfakes Software For All☆54,324Updated 2 weeks ago
- YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite☆54,797Updated 2 weeks ago
- Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.☆58,199Updated last month
- 100 Days of ML Coding☆47,691Updated last year
- The Julia Programming Language☆47,414Updated this week
- TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)☆43,673Updated last year
- Investment Research for Everyone, Everywhere.☆46,399Updated this week
- Ultralytics YOLO 🚀☆43,764Updated this week
- Apache Airflow - A platform to programmatically author, schedule, and monitor workflows☆41,262Updated this week
- Streamlit — A faster way to build and share data apps.☆40,595Updated this week
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆41,234Updated 11 months ago
- DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.☆39,529Updated this week
- Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!☆39,196Updated this week
- 12 Weeks, 24 Lessons, AI for All!☆39,114Updated last month
- OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamical…☆37,425Updated 11 months ago
- AI-Powered Photos App for the Decentralized Web 🌈💎✨☆37,993Updated 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.☆38,211Updated this week
- Google Research☆36,097Updated this week
- Caffe: a fast open framework for deep learning.☆34,464Updated 11 months ago
- 吴恩达老师的机器学习课程个人笔记☆34,586Updated last year
- OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation☆32,815Updated 11 months ago
- Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purpos…☆32,465Updated 3 weeks ago
- 💫 Industrial-strength Natural Language Processing (NLP) in Python☆32,041Updated 2 months ago
- Visualizer for neural network, deep learning and machine learning models☆31,022Updated this week
- Roadmap to becoming an Artificial Intelligence Expert in 2022☆30,127Updated last year
- Cross-platform, customizable ML solutions for live and streaming media.☆30,770Updated this week
- Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.☆29,880Updated this week