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 (1432)
AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star
:robot::zap: 50 scikit-learn tips
JVector: the most advanced embedded vector search engine
Machine Learning in Asset Management (by @firmai)
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
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.
A lightweight library for PyTorch training tools and utilities
《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。
A list of ICs and IPs for AI, Machine Learning and Deep Learning.
PyTorch tutorials and best practices.
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics...
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...
🙄 Difficult algorithm, Simple code.
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
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.
Automated Machine Learning on Kubernetes
My solution to the book A Collection of Data Science Take-Home Challenges
A selection of state-of-the-art research materials on trajectory prediction
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...
TensorLy: Tensor Learning in Python.
Efficient, scalable and enterprise-grade CPU/GPU inference server for 🤗 Hugging Face transformer models 🚀
Machine Learning in R
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
🦆 Contextually-keyed word vectors
Conversational AI SDK for Ionic to enable text and voice conversations with actions (React, Angular, Vue)
A NSFW (aka porn) detector with CoreML
A model-agnostic visual debugging tool for machine learning
A fast, efficient universal vector embedding utility package.
Data science interview questions with answers. Not ideally (yet)
Version control for machine learning
[UNMAINTAINED] Automated machine learning for analytics & production
Convolutional Neural Network for 3D meshes in PyTorch
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
🧠 A study guide to learn about Transformers
Meta-Transformer for Unified Multimodal Learning
General code to convert a trained keras model into an inference tensorflow model
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
Deep Neuroevolution
:us: a python library for parsing unstructured United States address strings into address components
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.
This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"
OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
Extensible, parallel implementations of t-SNE
General Assembly's 2015 Data Science course in Washington, DC
A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, sof...
Machine Learning University: Accelerated Computer Vision Class
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras