516 Open source projects that are alternatives of or similar to Humpback Whale Identification 1st

Machine Learning models from scratch with a better visualisation

An easy to use PyTorch to TensorRT converter

High-level batteries-included neural network training library for Pytorch

Papers and Datasets about Point Cloud.

Tools to suggest SQL columns for Pyrog

Always sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

Adversarial Ranking Attack and Defense, ECCV, 2020.

deep learning for image processing including classification and object-detection etc.

ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification (CVPR 2020 VL3)

Collection of stats, modeling, and data science tools in Python and R.

Weaviate is a cloud-native, modular, real-time vector search engine

Music genre classification with LSTM Recurrent Neural Nets in Keras & PyTorch

Social Signal Processing for Android

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Repository for the experiments described in the paper named "DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus"

Awesome-Text-Classification Projects,Papers,Tutorial .

Selective Classification For Deep Neural Networks.

PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）

A Tool for Automatic Analysis of Malware Behavior

Code for Java Deep Learning Cookbook

This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using…

Snape is a convenient artificial dataset generator that wraps sklearn's make_classification and make_regression and then adds in 'realism' features such as complex formating, varying scales, categorical variables, and missing values.

Conceptual & empirical comparisons between decision forests & deep networks

Transfer Learning for Anime Characters Recognition

Kaggle solutions

🎨 Color recognition & classification & detection on webcam stream / on video / on single image using K-Nearest Neighbors (KNN) is trained with color histogram features by OpenCV.

A comprehensive survey of deep metric learning and related works

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

YOLOv1 tensorflow

PyTorch Implementation of Stacked U-Nets (SUNets)

MiraPy: A Python package for Deep Learning in Astronomy

Using pre trained word embeddings (Fasttext, Word2Vec)

Catalyst.Classification

A lightweight convolutional neural network

Awesome Projects in Python - Machine Learning Applications, Games, Desktop Applications all in Python 🐍

Grid-GCN for Fast and Scalable Point Cloud Learning

Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking

IPython widgets, interactive plots, interactive machine learning

Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.

High-quality Neural Networks for Computer Vision 😎

A Structured Self-attentive Sentence Embedding

Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

LUNA16-Lung-Nodule-Analysis-2016-Challenge

Finetuning any DNN for better embedding on neural search tasks

Collection of computer vision models, ready to be included in a JVM project

This repo introduces how to integrate Tensorflow framework into ROS with object detection API.

Training examples and results for ImageNet(ILSVRC2012)/CIFAR100/COCO2017/VOC2007+VOC2012 datasets.Image Classification/Object Detection.Include ResNet/EfficientNet/VovNet/DarkNet/RegNet/RetinaNet/FCOS/CenterNet/YOLOv3.

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Model verification, validation, and error analysis

Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).

Examples use case of PHP-ML library.

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

PyTorch Implementation for Deep Metric Learning Pipelines

Semantic3D segmentation with Open3D and PointNet++

🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.

HTTP service for Tensorflow images classification model

Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers.