5921 Open source projects that are alternatives of or similar to Ai Matrix

Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

python，机器学习笔记，machine learning，nlp

Python Deep Learning Projects, published by Packt

Code for the paper: Fighting Fake News: Image Splice Detection via Learned Self-Consistency

Course materials for the Automating GIS processes -course, University of Helsinki, Finland

Accompanying code for the Medium article

Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset (CVPR'19)

Design-of-experiment (DOE) generator for science, engineering, and statistics

Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"

Repository containing monthly challenges about quantum computing.

This Repository contains the list of various Machine and Deep Learning related projects. Related code and data files are available inside this folder. One can go through these projects to implement them in real life for specific use cases.

PyDy tutorial materials for MASB 2014, PYCON 2014, and SciPy 2014/2015.

🧪 📗 Unit test your Jupyter Notebooks the right way

The toolbox for the Google Refexp dataset proposed in this paper: http://arxiv.org/abs/1511.02283

Code release for Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation (CVPR 2020)

Arduino library for MAX30100, integrated oximeter and heart rate sensor

🌎 machine learning tutorials (mainly in Python3)

Machine learning contest - October 2016 TLE

Deep Learning introduction and its application in various fields

Deep Learning tutorials in jupyter notebooks.

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

Pandas tutorial for SciPy2015 and SciPy2016 conference

An Interactive Introduction to Fourier Transforms

Face Depixelizer based on "PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models" repository.

Simple Training and Deployment of Fast End-to-End Binary Networks

Predicting Forex Future Price with Machine Learning

ML study process record

An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)

🐍💻📊 All material from the PyCon.DE 2018 Talk "Beyond Jupyter Notebooks - Building your own data science platform with Python & Docker" (incl. Slides, Video, Udemy MOOC & other References)

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

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

This repository consists of all my Machine Learning Projects.

Notes for machine learning

Curso Maestro Python 3 en Udemy (20 horas)

Segmentation-Aware Convolutional Networks Using Local Attention Masks

Speedml Python Notebooks

A tutorial for Automatic Text Summarization using TextRank algorithm.

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)

Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and xarray

torchtext使用总结，从零开始逐步实现了torchtext文本预处理过程，包括截断补长，词表构建，使用预训练词向量，构建可用于PyTorch的可迭代数据等步骤。并结合Pytorch实现LSTM.

天池比赛，kaggle等等（Keras/PyTorch实战）

Tel-Aviv Deep Learning Boot-camp: 12 Applied Deep Learning Labs

General optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python

主要是爬虫与数据分析项目总结，外加建模与机器学习，模型的评估。

Machine Learning Concepts with Concepts

A Practical Guide to Deep Learning with TensorFlow 2.0 and Keras materials for Frontend Masters course

Understanding ML and deep learning through geometry

Fundamentals of Spark with Python (using PySpark), code examples

Projects done in the Data Engineering Nanodegree by Udacity.com

This repository contains the Tutorials for the NPTEL MOOC on Machine Learning.

Home assignments for data science positions

Office Automation by Using Pythonf (For Excel, Word, PPT and PDF .....)

Spectrograms, MFCCs, and Inversion Demo in a jupyter notebook

Image augmentation for randomly rotating, shearing, translating and changing lighting conditions.