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)
🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
A curated list of Machine Learning Surveys, Tutorials and Books.
the open-source virtual assistant for Ubuntu based Linux distributions
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox c...
Koç University deep learning framework.
A research toolkit for particle swarm optimization in Python
🧙 A web app to generate template code for machine learning
Awesome-TensorFlow-Chinese，TensorFlow 中文资源精选，官方网站，安装教程，入门教程，视频教程，实战项目，学习路径。QQ群：167122861，公众号：磐创AI，微信...
"結巴"中文分詞：做最好的 PHP 中文分詞、中文斷詞組件。 / "Jieba" (Chinese for "to stutter") Chinese text segmentation: built to be the best PHP Chinese...
Mathematical derivation and pure Python code implementation of machine learning algorithms.
The world's simplest facial recognition api for .NET on Windows, MacOS and Linux
Connecting Torch to StarCraft
A curated list of articles that cover the software engineering best practices for building machine learning applications.
📰 Diários oficiais brasileiros acessíveis a todos | 📰 Brazilian government gazettes, accessible to everyone.
A Toolbox for Adversarial Robustness Research
Owl - OCaml Scientific Computing @ https://ocaml.xyz
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
Deploy a ML inference service on a budget in less than 10 lines of code.
《机器学习实战》的python3源码
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
21st century AD
🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting s...
CleverCSV is a Python package for handling messy CSV files. It provides a drop-in replacement for the builtin CSV module with improved dialect detecti...
Small scale machine learning projects to understand the core concepts . Give a Star 🌟If it helps you. BONUS: Interview Bank coming up..!
📷 🗣 Point your camera at things to hear how to say them in a different language
Arm NN ML Software.
The guide to tackle with the Text Summarization
Metric learning algorithms in Python
A TensorFlow recommendation algorithm and framework in Python.
This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
An awesome face technology repository.
The challenge projects for Inferencing machine learning models on iOS
High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries...
Instructional notebooks on music information retrieval.
A community run, 5-day PyTorch Deep Learning Bootcamp
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
:basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.
Lightweight optimization with local, global, population-based and sequential techniques across mixed search spaces
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
A neural network toolkit for Metal
GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.
Machine Learning library for Rust
XAI - An eXplainability toolbox for machine learning
A Framework for Encrypted Machine Learning in TensorFlow
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet