awesome-ml Goto Github PK
Type: Organization
Type: Organization
Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier
code for running Model and code for Not Suitable for Work (NSFW) classification using deep neural network Caffe models
A programmable and highly maneuverable robotic cat for STEM education and AI-enhanced services.
Face recognition with deep neural networks.
Python module to interface with OpenML
Mirror of Apache OpenNLP
Open-Source Neural Machine Translation in Torch
OpenNN - Open Neural Networks Library
Java Constraint Solver to solve vehicle routing, employee rostering, task assignment, conference scheduling and other planning problems.
PArallel Distributed Deep LEarning
Awesome Pre-trained Models Toolkit Based on PaddlePaddle(180+ models, including CV, NLP, Audio and Video, Onekey Inference&Serving)
A framework for training and evaluating AI models on a variety of openly available dialog datasets.
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
A flexible artificial neural network builder to analysis performance, and optimise the best model.
A visual dataflow programming language for sklearn
Image-to-image translation using conditional adversarial nets
Play with neural networks!
Multilingual text (NLP) processing toolkit
A Machine Learning library based on Theano
PyMC: Bayesian Stochastic Modelling in Python (for PyMC3: https://github.com/pymc-devs/pymc3)
The "Python Machine Learning" book code repository and info resource
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Deep Q-Learning Network in pytorch
Some example scripts on pytorch
PyTorch implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variation.
Teraflops and microservices
Clone a voice in 5 seconds to generate arbitrary speech in real-time
An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016), details of which can be found on their website https://deepmind.com/publications.html.
scikit-learn(sklearn) 官方文档中文版
Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.