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 (1435)
Find big moving stocks before they move using machine learning and anomaly detection
A Python package for time series classification
TensorFlow template application for deep learning
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
Provide an input CSV and a target field to predict, generate a model + code to run it.
Core ML model zoo for iOS/macOS — PyTorch models converted to ready-to-use .mlpackage, each with a conversion script and SwiftUI sample app. Sibling r...
A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
A comprehensive guide to building RAG-based LLM applications for production.
Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)
A general-purpose probabilistic programming system with programmable inference
A curated list of awesome embedding models tutorials, projects and communities.
Self-contained Machine Learning and Natural Language Processing library in Go
Large-scale LLM inference engine
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
Collection of awesome interview references.
Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm
Byzer (former MLSQL): A low-code open-source programming language for data pipeline, analytics and AI.
For extensive instructor led learning
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better unde...
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
AI on the way. An auto deep learning pipe dream. An RDBMS approach to deep learning. Declarative, explainable, scalable, optimizable, easy to deploy,...
Rust library for quantitative finance.
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,...
The Self-Coding System for Your App — Alan AI SDK for Android
A large annotated semantic parsing corpus for developing natural language interfaces.
Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
Interpretability and explainability of data and machine learning models
Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
Shared repository for open-sourced projects from the Google AI Language team.
Cross-Platform, GPU Accelerated Whisper 🏎️
Awesome-pytorch-list 翻译工作进行中......
DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
Magenta RealTime 2: An Open-Weights Live Music Model
Large-scale linear classification, regression and ranking in Python
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
📄 🤖 AI for medical and scientific papers
A free, open source, and privacy-focused browser extension to block “not safe for work” content built using TensorFlow.js.
Top 200 deep learning Github repositories sorted by the number of stars.
Speedy Wavenet generation using dynamic programming :zap:
Fast and efficient unstructured data extraction. Written in Rust with bindings for many languages.
The Self-Coding System for Your App — Alan AI SDK for Flutter
Reference implementations of MLPerf® training benchmarks
安全场景、基于AI的安全算法和安全数据分析业界实践
A domain specific language to express machine learning workloads.
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".