5921 Open source projects that are alternatives of or similar to Machine Learning Code Writing

Python Script to access ATT&CK content available in STIX via a public TAXII server

interactive notebooks from Planet Engineering

用Python做些有趣的项目

项目注释+论文复现+算法竞赛

Code for the Deep Learning with PyTorch lesson

身份证识别OCR

Deep face recognition with Keras, Dlib and OpenCV

A py.test plugin to validate Jupyter notebooks

Convolutional neural networks for artistic style transfer.

DeltaPy - Tabular Data Augmentation (by @firmai)

Repository for code used in my blog posts

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

Download Datasets and Ground Truths: https://github.com/TuSimple/tusimple-benchmark/issues/3

collection of iPython notebooks

experiments with python

Reimplementation of DRAW

End-to-End recipes for pre-training and fine-tuning BERT using Azure Machine Learning Service

Action recognition using soft attention based deep recurrent neural networks

仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层；以及图像分类案例及精调网络案例等,持续更新中... ...

Describe past Kaggle solutions

This is a kaggle challenge project called Display Advertising Challenge by CriteoLabs at 2014.这是2014年由CriteoLabs在kaggle上发起的广告点击率预估挑战项目。

koch et al, Siamese Networks for one-shot learning, (mostly) reimplimented in keras

A tiny 1000 line LLVM-based numeric specializer for scientific Python code.

Python Examples for Remote Sensing

The source code for paper "Deep Image Spatial Transformation for Person Image Generation"

Code / solutions for Mathematics for Machine Learning (MML Book)

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

My notes and superstitions about common machine learning algorithms

categorical variational autoencoder using the Gumbel-Softmax estimator

Content for Udacity's Machine Learning curriculum

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

Machine learning notebooks in different subjects optimized to run in google collaboratory

Projections of COVID-19, in standardized format

Statistics and accepted paper list of NLP conferences with arXiv link

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

《推荐系统实践》代码实现

cs231n training camp

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

[ISBI'21] MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis

This is the code for "Convolutional Neural Networks - The Math of Intelligence (Week 4)" By Siraj Raval on Youtube

Dataset to assess the disentanglement properties of unsupervised learning methods

（完结）网易云课堂微专业《深度学习工程师》听课笔记，编程作业和课后练习

Implementation of various topic models

PyTorch implementation of the CortexNet predictive model

Getting Started with Xilinx ML Suite

A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)

TensorFlow 中文教程 (Chinese Tutorials)

A two stage lightweight and high performance license plate recognition in MTCNN and LPRNet

BERT-NER (nert-bert) with google bert https://github.com/google-research.

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

Building and Embedding Machine Learning Model into a Web App(With Flask,Streamlit,etc)

Book about interpretable machine learning

Deep Learning Projects that Build Themselves

Noise reduction in python using spectral gating (speech, bioacoustics, time-domain signals)

PyTorch1.x tutorials, examples and some books I found 【不定期更新】整理的PyTorch 1.x 最新版教程、例子和书籍

PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"