3481 Open source projects that are alternatives of or similar to Har Keras Cnn

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

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Best Practices, code samples, and documentation for Computer Vision.

deeplearning.ai , By Andrew Ng, All video link

Curated list of Python resources for data science.

Voice Activity Detection based on Deep Learning & TensorFlow

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

Deep neural network to extract intelligent information from invoice documents.

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

[UNMAINTAINED] Automated machine learning for analytics & production

Multi-class confusion matrix library in Python

This is a tutorial for PyTorch Geometric on the YooChoose dataset

Best Practices on Recommendation Systems

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

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

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

Gorgonia is a library that helps facilitate machine learning in Go.

Top 200 deep learning Github repositories sorted by the number of stars.

Deep Learning Computer Vision Algorithms for Real-World Use

Deep Learning Projects that Build Themselves

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

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

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

Introducing neural networks to predict stock prices

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

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

A sign language interpreter using live video feed from the camera.

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

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.

Efficient Learning of Augmentation Policy Schedules

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

This is an open sourced book on deep learning.

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

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

C++ Implementation of PyTorch Tutorials for Everyone

Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)

A convolutional neural network implementation of a script that detects whether an individual is wearing a hardhat or not.

Data-centric declarative deep learning framework

PyTorch tutorial for learners

MIVisionX toolkit is a comprehensive computer vision and machine intelligence libraries, utilities and applications bundled into a single toolkit.

PHP-ML - Machine Learning library for PHP

Data transformations for the ML era

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

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

The Official Deep Learning Framework for Route-based Place Recognition

A workshop on data privacy methods for data scientists.

Pytorch implementation of ICRA 2020 paper "360° Stereo Depth Estimation with Learnable Cost Volume"

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

Carefully curated resource links for data science in one place

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

An open-source platform for automating tasks using machine learning models

Deep Learning in Haskell

Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

Sign Language Recognition for Deaf People