6352 Open source projects that are alternatives of or similar to Mlmodels

Supreme Court prediction project

PyTorch library for "Neural Painters: A learned differentiable constraint for generating brushstroke paintings"

Sample Codes for NNDL

Data, tools, and documentation of the Fusion 360 Gallery Dataset

Generalized linear mixed-effect model in Python

Resources for a 3.5 hour workshop on machine learning using the MLJ toolbox

Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)

julia version of 100 numpy exercises

Demo of running NNs across different frameworks

python implementations of Analyzing Neural Time Series Textbook

FOSS architecture definitions of FPGA hardware useful for doing PnR device generation.

A collection of non-residential buildings for performance analysis and algorithm benchmarking

Educational material on using the TensorFlow Estimator framework for text classification

A set of notebooks for an introduction to Python for Mathematicians.

A tutorial on 'Soft weight-sharing for Neural Network compression' published at ICLR2017

Dstl Satellite Imagery Feature Detection

Classical algorithms of sound source localization with beamforming, TDOA and high-resolution spectral estimation.

Github开源项目hyperopt系列的中文文档,以及学习教程等

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH

📖 [译] 数据科学和人工智能技术笔记

Материалы курса "Глубинное обучение", ФКН ВШЭ, бакалаврская программа ПМИ

Code for the Make Your Own Neural Network book

A platform for profiling public figures in Brazilian politics

This is the code for the Kaggle Earthquake Challenge by Siraj Raval on Youtube

Curated Notebooks from STScI

Practical Notebooks for the Deep Learning Indaba 2018

Materials for following along with Hands-On Data Analysis with Pandas.

This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practice on.

瑞金医院MMC人工智能辅助构建知识图谱大赛初赛

Google2Csv a simple google scraper that saves the results on a csv/xlsx/jsonl file

Source code for my personal blog

Python port of CausalImpact R library

Theseus is a Python library for cohort analysis

MiniFold: Deep Learning for Protein Structure Prediction inspired by DeepMind AlphaFold algorithm

Tutorials and implementations for "Self-normalizing networks"

https://cn.udacity.com/mlnd/

Data Analysis and Visualization in Python for Ecologists

A Python package for heart rate variability analysis

Advanced Scikit-learn training session

A collection of DL experiments and notes

Methods of data exploration and visualization using Python.

Control your lights with dab and t-pose, duh

A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.

Solving the fundamentals of algorithms using Python

Machine learning fundamentals lesson in interactive notebooks

Statistical Rethinking with PyTorch and Pyro

An easy to use waterfall chart function for Python

房价预测完整项目：1.爬取链家网数据 2.处理后，用sklearn中几个逻辑回归机器学习模型和keras神经网络搭建模型预测房价 最终结果神经网络效果更好，R^2值0.75左右

Tensorflow 2.0 implementation of the paper: A Fully Convolutional Neural Network for Speech Enhancement

"Deep Learning and Quantum Programming" Spring School @ Song Shan Lake

A store of Helm chart tarballs for deploying JupyterHub and BinderHub on a Kubernetes cluster

A curated list of NLP resources for Hungarian

基于深度学习的驾驶员状态检测，不仅仅可以识别出疲劳驾驶，还能够识别出各种各样的状态

ICR - Automated and Intelligent Company Report Built in Python (by @firmai)

Implementation of "Generating Sequences With Recurrent Neural Networks" https://arxiv.org/abs/1308.0850

PyTorch implementation of SIFT descriptor