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)
Owl - OCaml Scientific Computing @ https://ocaml.xyz
21st century AD
📰 Diários oficiais brasileiros acessíveis a todos | 📰 Brazilian government gazettes, accessible to everyone.
📷 🗣 Point your camera at things to hear how to say them in a different language
🚀 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...
Small scale machine learning projects to understand the core concepts . Give a Star 🌟If it helps you. BONUS: Interview Bank coming up..!
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
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...
The guide to tackle with the Text Summarization
Metric learning algorithms in Python
A TensorFlow recommendation algorithm and framework in Python.
Arm NN ML Software.
An awesome face technology repository.
This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis
The challenge projects for Inferencing machine learning models on iOS
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
A community run, 5-day PyTorch Deep Learning Bootcamp
Instructional notebooks on music information retrieval.
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
Lightweight optimization with local, global, population-based and sequential techniques across mixed search spaces
GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
A neural network toolkit for Metal
Machine Learning library for Rust
:basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.
A Framework for Encrypted Machine Learning in TensorFlow
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
Evolutionary Algorithm using Python, 莫烦Python 中文AI教学
XAI - An eXplainability toolbox for machine learning
A curated list of awesome mobile machine learning resources for iOS, Android, and edge devices.
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
AdvancedEAST is an algorithm used for Scene image text detect, which is primarily based on EAST, and the significant improvement was also made, which...
📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).
A system to flag anomalous source code expressions by learning typical expressions from training data
Transpile trained scikit-learn estimators to C, Java, JavaScript and others.
:rocket: Blazing fast neuro-evolution & backpropagation for the browser and Node.js
TensorFlow plugin for the Unreal Engine.
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries...
pyclustering is a Python, C++ data mining library.
NFStream: a Flexible Network Data Analysis Framework.
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
Multilingual word vectors in 78 languages
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器...
Composable GAN framework with api and user interface
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow