2029 Open source projects that are alternatives of or similar to Graph_2d_cnn

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

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

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

Deep learning codes and projects using Python

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

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.

SincNet is a neural architecture for efficiently processing raw audio samples.

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

Deep Learning Computer Vision Algorithms for Real-World Use

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

deeplearning.ai , By Andrew Ng, All video link

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Disclaimer: This is not an official Google product.

Next RecSys Library

Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

Semantic segmentation on iPhone using ESPNetv2

repo with challenge material for riceteacatpanda (2020)

Daily Dose of Neural Network that Everyone Needs

Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference

Udacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier

High-efficiency floating-point neural network inference operators for mobile, server, and Web

Data augmentation for NLP, presented at EMNLP 2019

Finding the genre of a song with Deep Learning

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

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

Support content for my blog

Neural network inference the Unix way

Using Tensorflow to classify the NIST Dataset 19 (Handwriting)

TensorFlow and Deep Learning Tutorials

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

Build Graph Nets in Tensorflow

Skin cancer classification using Inceptionv3

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

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

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

all kinds of text classification models and more with deep learning

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

Rare pupper image compression model for word-embedding-esque operations.

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 …

Machine learning based text classification in JavaScript using n-grams and cosine similarity

Machine Reading Comprehension in Tensorflow

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

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

This toolbox is support material for the book on CNN (http://www.convolution.network).

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

🚖 Object Detection (YOLOv1) implentation in tensorflow, with training, testing and video features.

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

TensorHub is a library built on top of TensorFlow 2.0 to provide simple, modular and repeatable abstractions to accelerate deep learning research.

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

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

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

Crystal Graph Neural Networks

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

Deep Learning tools for brain medical images

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

MemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.

PHP-ML - Machine Learning library for PHP