6257 Open source projects that are alternatives of or similar to Learning

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

Fast and flexible AutoML with learning guarantees.

Official repository for the paper F, B, Alpha Matting

An open-source, low-code machine learning library in Python

Deep Neural Network for Sentiment Analysis on Twitter

Public Repository for cs109a, 2017 edition

Heterogeneous Run Time version of Caffe. Added heterogeneous capabilities to the Caffe, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original Caffe architecture which users deploy their applications seamlessly.

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

Python-based utility that uses supervised machine learning to detect phishing domains from the Certificate Transparency log network.

风格迁移三部曲

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

Python-based tools for document analysis and OCR

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No description, website, or topics provided.

The data analysiser and predictor of https://xhamster.com/

Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)

Code and files to go along with CS329s machine learning model deployment tutorial.

Human-explainable AI.

Pronounced as "musician", musicnn is a set of pre-trained deep convolutional neural networks for music audio tagging.

Short Tutorial to Probabilistic Graphical Models(PGM) and pgmpy

搜集、整理、发布 中文 自然语言处理 语料/数据集，与 有志之士 共同 促进 中文 自然语言处理 的 发展。

FC-DenseNet in PyTorch for Semantic Segmentation

Repository for the Zero to Deep Learning® Video Course

《程序员面试金典》(cc150)

Code repo for "LSTM Pose Machines" (CVPR'18)

Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

This repo will house all our course material and code snippets from the Introduction to Machine Learning Class

腾讯word2vec模型缩小版

4 different recommendation engines for the MovieLens dataset.

Classify Traffic Signs.

Machine Learning Practical course repository

A tensorflow implementation of an HMM layer

Neural network visualization toolkit for keras

CNN for multi-class image recognition in tensorflow

Tutorials for TensorFlow APIs the official documentation doesn't cover

Contains Jupyter notebooks associated with the "Deep Reinforcement Learning Tutorial" tutorial given at the O'Reilly 2017 NYC AI Conference.

Google Cloud Datalab samples and documentation

Simple notebook to stream torrent files to Google Drive using Google Colab.

Repository to accompany "Pandas for Everyone"

量化交易。同花顺免费模拟炒股软件客户端的python API。(Python3)

Implementation of spatial transformer networks (STNs) in keras 2 with tensorflow as backend.

Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction

Word to Gaussian Mixture Model

Machine Learning interview prep guide

A collection of Jupyter notebooks developed by the community showing how to use Qiskit

Stanford Machine Learning course exercises implemented with scikit-learn

A python package to access tsetmc data

Implementation for <Large-Margin Softmax Loss for Convolutional Neural Networks> in ICML'16.

YOLOv3 implementation in TensorFlow 2.3.1

Deep Learning with TensorFlow, Keras, and PyTorch

快速上手Ai理论及应用实战：基础知识Basic knowledge、机器学习MachineLearning、深度学习DeepLearning2、自然语言处理BERT，持续更新中。含大量注释及数据集，力求每一位能看懂并复现。

Code for a tutorial on Bayesian Statistics by Allen Downey.

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.