5921 Open source projects that are alternatives of or similar to Eeap Examples

Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.

Data Cleaning Libraries with Python

Kernel Density Estimation in Python

主要存储Datawhale组队学习中“编程、数据结构与算法”方向的资料。

Building Machine Learning Projects with TensorFlow by Packt

AIND Term 2 -- Lesson on Convolutional Neural Networks

Pysolar is a collection of Python libraries for simulating the irradiation of any point on earth by the sun. It includes code for extremely precise ephemeris calculations.

Tutorial on normalizing flows.

🌮 Trash Annotations in Context Dataset Toolkit

Shared Blogs and Notebooks

A machine learning project. Turn on your webcam. Mona Lisa's eyes will follow you around.

How to use ELMo embeddings in Keras with Tensorflow Hub

TensorFlow JS models for MIRNet for low-light image enhancement.

An implementation of "mixup: Beyond Empirical Risk Minimization"

Notes, Codes, and Tutorials for the Deep Learning Course <which I taught at ChinaHadoop>

Sample implementation of Neural Ordinary Differential Equations

Create delightful python projects using Jupyter Notebooks

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

A minimal Jupyter Notebook theme

Interactive JavaScript and TypeScript programming with Jupyter

Estimates the size of a PyTorch model in memory

Python code for bayesian optimization using Gaussian processes

Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman

ML Online Course Repository. Course videos on online.codingblocks.com

Udemy Derin Öğrenmeye Giriş Kursunun Uygulamaları ve Daha Fazlası

This repository contains all the material for the MLTrain NIPS workshop

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

code and model of Pyramid Feature Selective Network for Saliency detection

Interactive Lecture Notes, Slides and Exercises for Statistical NLP

Code for YouTube series: Deep Learning for Audio Classification

Natural Language Toolkit for bahasa Malaysia, https://malaya.readthedocs.io/

Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar

[电影推荐系统] Based on the movie scoring data set, the movie recommendation system is built with FM and LR as the core(基于爬取的电影评分数据集，构建以FM和LR为核心的电影推荐系统).

Crawl & visualize ICLR papers and reviews.

Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).

Kaggle airbus ship detection challenge 21st solution

Deep Learning to Improve Breast Cancer Detection on Screening Mammography

WACV18 paper "DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification"

Train a Word2Vec model or LSA model, and Implement Conceptual Search\Semantic Search in Solr\Lucene - Simon Hughes Dice.com, Dice Tech Jobs

Bayesian neural network using Pyro and PyTorch on MNIST dataset

Repeatable analysis plugin for Jupyter notebook

KoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)

知乎看山杯 第二名 解决方案

We are building an open database of COVID-19 cases with chest X-ray or CT images.

Practical Exercise Codes for PyTorch

A series of notebooks describing how to use YOLO (darkflow) in python

a framework for training sequence-level deep learning networks

Global shoreline mapping tool from satellite imagery

This course covers how you can use NLP to do stuff.

台大机器学习课程作业详解

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

PyTorch Implementation of "Large-Scale Image Retrieval with Attentive Deep Local Features"