6445 Open source projects that are alternatives of or similar to Models

Machine Learning Practical course repository

Human-explainable AI.

An out-of-box human parsing representation extractor.

Short Tutorial to Probabilistic Graphical Models(PGM) and pgmpy

A curated list of Google Earth Engine resources

FC-DenseNet in PyTorch for Semantic Segmentation

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

The code of book: Python Scraping

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

파이썬을 활용한 데이터 분석과 이미지 처리 - 강의 자료 및 소스코드 Repository입니다.

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

Generative Query Network (GQN) in PyTorch as described in "Neural Scene Representation and Rendering"

apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html

4 different recommendation engines for the MovieLens dataset.

Data Augmentation by Backtranslation (DAB) ヽ( •_-)ᕗ

(ECCV 2020) RANSAC-Flow: generic two-stage image alignment

DataStructure(SwordOffer、LeetCode)、Deep Learning(Tensorflow、Keras、Pytorch)、Machine Learning(sklearn、spark)、AutoML、AutoDL、ModelDeploying、SQL

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics

Примеры для курса "Программирование глубоких нейронных сетей на Python"

Edit your Jupyter notebooks in Vim/Neovim

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可

A soil humidity level sensor based on ATTINY44. Uses capacitive sensing.

Automatic headphone equalization from frequency responses

Repository to accompany "Pandas for Everyone"

Lectures on scientific computing with python, as IPython notebooks.

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

Trading with recurrent actor-critic reinforcement learning

Word to Gaussian Mixture Model

A general-purpose framework for solving problems with machine learning applied to predicting customer churn

Collection of presentations for advanced Python topics

Tutorial for International Summer School on Deep Learning, 2019

pytorch version of neural collaborative filtering

Using multidimensional LSTM neural networks to create a forecast for Bitcoin price

讲解常见的机器学习算法

onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.

links to conference publications in graph-based deep learning

Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.

Implementation of Neural Style Transfer in Pytorch

Patent analysis using the Google Patents Public Datasets on BigQuery

COMS W4995 Applied Machine Learning - Spring 19

An implementation of our CVPR 2018 work 'Domain Adaptive Faster R-CNN for Object Detection in the Wild'

United States General Election Presidential Results by County from 2008 to 2016

Translations of TensorFlow documentation

Microsoft Quantum Development Kit Samples

A Bokeh project developed for learning and teaching Bokeh interactive plotting!

VDSR (CVPR2016) pytorch implementation

CUDA Voxelizer to convert polygon meshes into annotated voxel grids

Stock Trading Bot using Deep Q-Learning

Master in Data Science Final Project

Finding Lane Lines using Python and OpenCV

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.

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。