Topic: machine-learning-models Goto Github
Some thing interesting about machine-learning-models
Some thing interesting about machine-learning-models
machine-learning-models,State-of-the art Automated Machine Learning python library for Tabular Data
User: alex-lekov
machine-learning-models,Keras implementation of sketch inversion using deep convolution neural networks (synthesising photo-realistic images from pencil sketches)
User: bkhmsi
Home Page: https://bkhmsi.github.io/Sketchback/
machine-learning-models,Implementation of the method described in the paper "Quasi-unsupervised color constancy" - CVPR 2019
User: claudio-unipv
machine-learning-models,๐ฆ A central GitHub repository for sharing Core ML models
Organization: cocoa-ai
Home Page: https://github.com/cocoa-ai
machine-learning-models,Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
User: cod3licious
machine-learning-models,Breast Cancer Detection using ML
User: cryptocoderas
Home Page: https://breastcancerdct.herokuapp.com/
machine-learning-models,Pytorch model for NSFW classification with usage example
User: emiliantolo
machine-learning-models,Covid-19 Mu Variant [B.1.621] Prediction and Classification Artificial Intelligence/Machine Learning Software
User: emirhanai
machine-learning-models,Estimated annual CO2 emissions from diesel generators at mobile or cell towers
User: emirhanai
machine-learning-models,Collection of OSS models that are containerized into a serving container
User: entrpn
machine-learning-models,A collection of awesome Machine Learning software, libraries, Learning Tutorials, documents, books, resources and interesting stuff in ML
User: exajobs
machine-learning-models,๐ซ Models for the spaCy Natural Language Processing (NLP) library
Organization: explosion
Home Page: https://spacy.io
machine-learning-models,A list of popular deep learning models related to classification, segmentation and detection problems
User: gmalivenko
machine-learning-models,A package that makes it trivial to create and evaluate machine learning pipeline architectures.
Organization: ibm
machine-learning-models,Identify sounds in short audio clips
Organization: ibm
Home Page: https://developer.ibm.com/exchanges/models/all/max-audio-classifier/
machine-learning-models,Generate embedding vectors from audio files
Organization: ibm
machine-learning-models,Generate short audio clips of speech commands and lo-fi instrumental samples
Organization: ibm
machine-learning-models,Detect whether a mitosis exists in an image of breast cancer tumor cells
Organization: ibm
machine-learning-models,Generate a new image that mixes the content of a source image with the style of another image.
Organization: ibm
Home Page: https://developer.ibm.com/code/exchanges/models/
machine-learning-models,Detect humans in an image and estimate the pose for each person
Organization: ibm
Home Page: https://developer.ibm.com/exchanges/models/all/max-human-pose-estimator/
machine-learning-models,Adds color to black and white images.
Organization: ibm
Home Page: https://developer.ibm.com/exchanges/models/all/max-image-colorizer/
machine-learning-models,Upscale an image by a factor of 4, while generating photo-realistic details.
Organization: ibm
Home Page: https://developer.ibm.com/exchanges/models/all/max-image-resolution-enhancer/
machine-learning-models,Identify objects in an image, additionally assigning each pixel of the image to a particular object
Organization: ibm
Home Page: https://developer.ibm.com/exchanges/models/all/max-image-segmenter/
machine-learning-models,Identify objects in images using a third-generation deep residual network.
Organization: ibm
Home Page: https://developer.ibm.com/code/exchanges/models/
machine-learning-models,Generate English-language text similar to the news articles in the One Billion Words data set.
Organization: ibm
Home Page: https://developer.ibm.com/code/exchanges/models/
machine-learning-models, Localize and identify multiple objects in a single image.
Organization: ibm
Home Page: https://developer.ibm.com/exchanges/models/all/max-object-detector/
machine-learning-models,Answer questions on a given corpus of text.
Organization: ibm
Home Page: https://developer.ibm.com/exchanges/models/all/max-question-answering
machine-learning-models,Identify objects in images using a first-generation deep residual network.
Organization: ibm
Home Page: https://developer.ibm.com/code/exchanges/models/
machine-learning-models,Generate English-language text similar to the text in the Yelpยฎ review data set.
Organization: ibm
Home Page: https://developer.ibm.com/exchanges/models/all/max-review-text-generator/
machine-learning-models,Image classifier for physical places/locations, based on the Places365-CNN Model
Organization: ibm
machine-learning-models,Categorize sports videos according to which sport the video depicts.
Organization: ibm
Home Page: https://developer.ibm.com/code/exchanges/models/
machine-learning-models,Detect the sentiment captured in short pieces of text
Organization: ibm
Home Page: https://developer.ibm.com/exchanges/models/all/max-text-sentiment-classifier/
machine-learning-models,Detect 6 types of toxicity in user comments.
Organization: ibm
Home Page: https://developer.ibm.com/exchanges/models/all/max-toxic-comment-classifier/
machine-learning-models,Predict hourly weather features given historical data for a specific location
Organization: ibm
machine-learning-models,๐ค An automated machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers). Python 3.6 required.
User: jim-schwoebel
machine-learning-models,๐ Easily apply audio-related machine learning models trained on the AudioSet dataset (527+ models/classes).
User: jim-schwoebel
Home Page: https://research.google.com/audioset/
machine-learning-models,Google Cloud Platform (GCP) Guide. Learn all about Google Cloud Tools, Services, and Certifications.
User: mikeroyal
machine-learning-models,Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.
User: mikeroyal
machine-learning-models,A curated list of awesome machine Learning tutorials,courses and communities.
User: murufeng
Home Page: https://github.com/murufeng/awesome-machine-learning
machine-learning-models,Unofficial implementation of SpecTNT in pytorch
Organization: mwm-io
machine-learning-models,The Awesome Models is where the developer's to download PyTorch , Keras and Tensorflow pre-trained models.
User: partheee
machine-learning-models,A CoreML model which classifies images of food
User: ph1ps
machine-learning-models,MLModelScope is an open source, extensible, and customizable platform to facilitate evaluation and measurement of ML models within AI pipelines.
Organization: rai-project
Home Page: http://www.mlmodelscope.org
machine-learning-models,Useful resources for creating projects with Teachable Machine models + curated list of already built Awesome Apps!
Organization: sashido
Home Page: https://teachablemachine.withgoogle.com/
machine-learning-models,An interpretable machine learning pipeline over knowledge graphs
Organization: sdm-tib
machine-learning-models,Code for reproducing IS-Count: Large-scale Object Counting with Importance Sampling (AAAI 2022)
Organization: sustainlab-group
Home Page: https://is-count.github.io
machine-learning-models,Collection of models for Core ML
Organization: swiftbrain
machine-learning-models,An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
User: thomas-young-2013
Home Page: https://mindware.readthedocs.io
machine-learning-models,Template codes and examples for Python machine learning concepts
User: yuxiangdai
machine-learning-models,Deep active inference agents using Monte-Carlo methods
User: zfountas
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