machine-learning
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
Repositories (1414)
A package for the sparse identification of nonlinear dynamical systems from data
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
A large annotated semantic parsing corpus for developing natural language interfaces.
Cross-Platform, GPU Accelerated Whisper 🏎️
Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there,...
DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.
Awesome-pytorch-list 翻译工作进行中......
Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning
Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
Interpretability and explainability of data and machine learning models
Speedy Wavenet generation using dynamic programming :zap:
Shared repository for open-sourced projects from the Google AI Language team.
Large-scale linear classification, regression and ranking in Python
The Self-Coding System for Your App — Alan AI SDK for Flutter
Official front-end implementation of ComfyUI
Top 200 deep learning Github repositories sorted by the number of stars.
A domain specific language to express machine learning workloads.
安全场景、基于AI的安全算法和安全数据分析业界实践
A free, open source, and privacy-focused browser extension to block “not safe for work” content built using TypeScript and TensorFlow.js.
自然语言处理、知识图谱、对话系统，大模型等技术研究与应用。
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
📄 🤖 AI for medical and scientific papers
Reference implementations of MLPerf® training benchmarks
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better unde...
fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
Toolbox of models, callbacks, and datasets for AI/ML researchers.
Fast and efficient unstructured data extraction. Written in Rust with bindings for many languages.
Open Source ML Model Versioning, Metadata, and Experiment Management
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
:robot::zap: 50 scikit-learn tips
Machine Learning in Asset Management (by @firmai)
AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star
Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
A lightweight library for PyTorch training tools and utilities
PyTorch tutorials and best practices.
JVector: the most advanced embedded vector search engine
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
A list of ICs and IPs for AI, Machine Learning and Deep Learning.
🙄 Difficult algorithm, Simple code.
Alias is a teachable “parasite” that is designed to give users more control over their smart assistants, both when it comes to customisation and priva...
《机器学习理论导引》（宝箱书）的证明、案例、概念补充与参考文献讲解。
Simple project to detect objects and display 3D labels above them in AR. This serves as a basic Template for an ARKit project to use CoreML.
My solution to the book A Collection of Data Science Take-Home Challenges
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html...
Efficient, scalable and enterprise-grade CPU/GPU inference server for 🤗 Hugging Face transformer models 🚀
Automated Machine Learning on Kubernetes