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

📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

Collection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥

建立你的算法地图：如何高效学习算法；算法工程师：从小白到专家

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Anomaly detection tutorial on univariate time series with an auto-encoder

NeuPy is a Tensorflow based python library for prototyping and building neural networks

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

The implementation of Relativistic average GAN with Keras

Learning human driver models from NGSIM data with imitation learning.

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

Lab Materials for MIT 6.S191: Introduction to Deep Learning

Text Classification through CNN, RNN & HAN using Keras

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

三个月教你从零入门深度学习Tensorflow版配套代码

深度学习笔记

Take further steps in the arms race of adversarial examples with only preprocessing.

A deep learning based gaze estimation framework implemented with PyTorch

Adaptive and Focusing Neural Layers for Multi-Speaker Separation Problem

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

capsule networks that achieves outstanding performance on the German traffic sign dataset

机器学习与深度学习算法示例

Cutout / Random Erasing implementation, especially for ImageDataGenerator in Keras

Spectral Normalization for Keras Dense and Convolution Layers

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

Deep Reinforcement Learning for de-novo Drug Design

This is the implementation of paper <Additive Margin Softmax for Face Verification>

📓 deepleaning and cv notes.

PyTorch Tutorial (1.7)

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Curso de Introducción a Machine Learning con Python

Re-implementation of TensorFlow in pure python, with an emphasis on code understandability

deeplearning.ai , By Andrew Ng, All video link

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

A one-stop repository for low-code easily-installable object detection pipelines.

Service Classification based on Service Description

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

An Interactive Approach to Understanding Deep Learning with Keras

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

keras를 이용한 딥러닝 기초 학습

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

Python tutorials as Jupyter Notebooks for NLP, ML, AI

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

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

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Classification of the Hyperspectral Image Indian Pines with Convolutional Neural Network

tutorials made for biologists to learn deep learning

All For NLP, especially Chinese.

Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"

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

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

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.

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

Learn OpenCV : C++ and Python Examples

Code for Java Deep Learning Cookbook

Multiple implementations for abstractive text summurization , using google colab

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

Code for polyaxon tutorials and examples

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

Bio-Computing Platform featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

Develop production ready deep learning code, deploy it and scale it