970 Open source projects that are alternatives of or similar to Hub

Reference implementations of popular DL models missing from keras-applications & keras-contrib

CNN image classifier implemented in Keras Notebook 🖼️.

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

Colab Compatible FastAI notebooks for NLP and Computer Vision Datasets

LASER multilingual sentence embeddings as a pip package

Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models

TensorFlow Lite Helper for Android to help getting started with TesnorFlow.

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

Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the…

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018

Play MK.js with TensorFlow.js

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

🍊 🎑 Orange3 add-on for dealing with image related tasks

Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.

A curated list of all the Awesome --Topic Name-- lists I've found till date relevant to Data lifecycle, ML and DL.

Almost any Image classification problem using pytorch

Deep Learning Computer Vision Algorithms for Real-World Use

Listing my favorite research papers 📝 from different fields as I read them.

AutoGluon: AutoML for Text, Image, and Tabular Data

Deep Learning: Image classification, feature visualization and transfer learning with Keras

Object classification with CIFAR-10 using transfer learning

dna2vec: Consistent vector representations of variable-length k-mers

Image classification for everyone.

Repository to identify Lego bricks automatically only using images

Easily train or fine-tune SOTA computer vision models with one open source training library

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

Building a Neural Network that classifies faces using OpenCV and Tensorflow

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

[CVPR 2020 VL3] The repository for meta fine-tuning in cross-domain few-shot learning.

A neural network layer that enables training of deep neural networks directly from crowdsourced labels (e.g. from Amazon Mechanical Turk) or, more generally, labels from multiple annotators with different biases and levels of expertise.

Open-source benchmark datasets and pretrained transformer models in the Filipino language.

No description or website provided.

Awesome Domain Adaptation Python Toolbox

One Person, One Model, One World: Learning Continual User Representation without Forgetting

Alpha principles for the ethical use of AI and Data Driven Technologies in Ontario | Proposition de principes pour une utilisation éthique des technologies axées sur les données en Ontario

HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

2nd place solution to Kaggle's Cdiscount image classification challange.

Jupyter notebooks used as supporting material for an msc thesis about personalised aesthetic assessment using residual adapters.

Link of ML papers to their blogs/ supplementary material

Sorts your image at high speed

resources for the IBM Airlines Table-Question-Answering Benchmark

A Tool for Automatic Parallelization of Deep Learning Training in Distributed Multi-GPU Environments.

Easy Image Classification with TensorFlow

REVOLVER - Repeated Evolution in Cancer

🔭 Speaker diarization via transfer learning

Lab worksheets for the Applied Deep Learning Course.

PyTorch implementation of "Pyramid Scene Parsing Network".

Concatenate word and character embeddings in Keras

An implementation of the Watset clustering algorithm in Java.

(AAAI2020)Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human Parsing

this resporatory have ml,ai,nlp,data science etc.python language related material from many websites eg. datacamp,geeksforgeeks,linkedin,youtube,udemy etc. also it include programming challange/competion solutions

Easy-to-use UI for automatically sparsifying neural networks and creating sparsification recipes for better inference performance and a smaller footprint

Image classifier in Elixir

No description or website provided.

An Open Source, Self-Hosted Platform For Applied Deep Learning Development

PyTorch implementation of RICAP (Random Image Cropping And Patching)

Automatic detection of defected solar panel modules

Machine Learning (EE 5184) in NTU

about how to use stagesepx in production

Transfer learning algorithm TrAdaboost,coded by python