6356 Open source projects that are alternatives of or similar to Udemy_derinogrenmeyegiris

由淺入深的深度學習資源 Collection of deep learning materials for everyone

Deep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft

Python tutorials as Jupyter Notebooks for NLP, ML, AI

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

Curso de Introducción a Machine Learning con Python

This is a collection of some of the important machine learning algorithms which are implemented with out using any libraries. Libraries such as numpy and pandas are used to improve computational complexity of algorithms

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

Text Classification through CNN, RNN & HAN using Keras

📓 deepleaning and cv notes.

TensorFlow Tutorials

An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.

Code and Examples for Relevant Search

code for R-C3D

A collection of all my datasets

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

A collection of resources for pandas (Python) and related subjects.

Client side rendering of Jupyter notebooks

MAttNet: Modular Attention Network for Referring Expression Comprehension

Hierarchical Attention Networks for document classification

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

An implementation of the ideas from this paper https://arxiv.org/pdf/1803.10122.pdf

add statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot

Approximating Wasserstein distances with PyTorch

Reinforcement learning with A* and a deep heuristic

Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版，算法实现。

朱小五写文章涉及到的数据分析，爬虫，源数据

Github repo to upload demo files of youtube videos and linkedin

Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python's design philosophy emphasizes code readability with its notable use of significant white space. (This repository contains Python 3 Code)

Simple Encoder, Generator and Face Modificator with StyleGAN2

Statistics and Accepted paper list with arXiv link of EMNLP-IJCNLP 2019

Installations for Data Science. Anaconda, RStudio, Spark, TensorFlow, AWS (Amazon Web Services).

Code To Accompany YouTube Series Imaginary Numbers Are Real

Interactive Lecture Notes, Slides and Exercises for Statistical NLP

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

Bayesian neural network using Pyro and PyTorch on MNIST dataset

A (very incomplete) project that combines machine learning with music.

My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

Documenting my python implementation of Andrew Ng's Machine Learning course

Deep Learning 101 with PaddlePaddle （『飞桨』深度学习框架入门教程）

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

Explains nlp building blocks in a simple manner.

ENet - A Neural Net Architecture for real time Semantic Segmentation

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

Code for our paper "Hamiltonian Neural Networks"

STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)

Curated list of Python resources for data science.

Structured Inference Networks for Nonlinear State Space Models

个人的技能树仓库，主要包含个人机器学习以及深度学习的笔记

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

Examples of using deep learning in Bioinformatics

Python version of Quantiacs toolbox and sample trading strategies

Beaker Extensions for Jupyter Notebook

2018-JDDC大赛第4名的解决方案

Deep fusion project of deeply-fused nets, and the study on the connection to ensembling

Applying Data Science and Machine Learning to Solve Real World Business Problems

It is open source ebook about TensorFlow kernel and implementation mechanism.

A knowledge graph and a set of tools for drug repurposing