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awesome-ml's Projects

nsfw_data_scrapper

Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier

open_nsfw

code for running Model and code for Not Suitable for Work (NSFW) classification using deep neural network Caffe models

opencat

A programmable and highly maneuverable robotic cat for STEM education and AI-enhanced services.

openface

Face recognition with deep neural networks.

opennmt

Open-Source Neural Machine Translation in Torch

optaplanner

Java Constraint Solver to solve vehicle routing, employee rostering, task assignment, conference scheduling and other planning problems.

paddlehub

Awesome Pre-trained Models Toolkit Based on PaddlePaddle（180+ models, including CV, NLP, Audio and Video, Onekey Inference&Serving）

parlai

A framework for training and evaluating AI models on a variety of openly available dialog datasets.

pattern

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

perceptron

A flexible artificial neural network builder to analysis performance, and optimise the best model.

persimmon

A visual dataflow programming language for sklearn

pix2pix

Image-to-image translation using conditional adversarial nets

polyglot

Multilingual text (NLP) processing toolkit

pylearn2

A Machine Learning library based on Theano

pymc

PyMC: Bayesian Stochastic Modelling in Python (for PyMC3: https://github.com/pymc-devs/pymc3)

python-machine-learning-book

The "Python Machine Learning" book code repository and info resource

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-progressive_growing_of_gans

PyTorch implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variation.

real-time-voice-cloning

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-doc-zh

scikit-learn（sklearn）官方文档中文版

scikit-neuralnetwork

Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.

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