378 Open source projects that are alternatives of or similar to MNIST-multitask

Collection of generative models in Tensorflow

Collection of generative models in Pytorch version.

Generative Adversarial Networks in TensorFlow 2.0

Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"

A MNIST-like fashion product database. Benchmark 👇

Customisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C, RainbowDQN and A3C_GA (Gated Attention multi-modal fusion) for Task-Oriented Language Grounding (tasks specified by natural language instructions) e.g. "Pick up the Cup or else"

Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST

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

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Tensorflow Implementation of open set domain adaptation by backpropagation

Convolutional Neural Network with CUDA (MNIST 99.23%)

Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.

Inspired from Mask R-CNN to build a multi-task learning, two-branch architecture: one branch based on YOLOv2 for object detection, the other branch for instance segmentation. Simply tested on Rice and Shapes. MobileNet supported.

A Tensorflow Implementation of the SimpNet Convolutional Neural Network Architecture

MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems

Low-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018

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

Inception V3 for Transfer Learning on Cats and Dogs

Repository to identify Lego bricks automatically only using images

Adversarial Discriminative Domain Adaptation in Chainer

Repository for Transfer Learning using Deep CNNs trained with synthetic images

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

A place to keep track of all the annotated papers.

Genre Classification using Convolutional Neural Networks

Repository for anime characters recognition website, powered by TensorFlow

Handwritten text to synths!

Replace FC2, LeNet-5, VGG, Resnet, Densenet's full-connected layers with MPO

A Pytorch implementation of DeepCrack and RoadNet projects.

Colab Compatible FastAI notebooks for NLP and Computer Vision Datasets

LSTM, GRU cell implementation from scratch in tensorflow

Deep Learning with Tensorflow/Keras: Digit recognition based on mnist-dataset and convolutional neural-network on iOS with CoreML

An optimizer that trains as fast as Adam and as good as SGD in Tensorflow

Your local Flux surgeon

Central Moment Discrepancy for Domain-Invariant Representation Learning (ICLR 2017, keras)

No description or website provided.

Neural nets for MNIST classification, simple single layer NN, 5 layer FC NN and convolutional neural networks with different architectures

A modified extractor for the CROHME handwritten math symbols dataset.

Persian Bert For Long-Range Sequences

Data and code for our paper "Exploring and Predicting Transferability across NLP Tasks", to appear at EMNLP 2020.

Implementation of many transfer learning algorithms in Python with Jupyter notebooks

Multi-task learning smile detection, age and gender classification on GENKI4k, IMDB-Wiki dataset.

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

Neural network library written in C and Javascript

This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising"(KDD2021).

Implementation of key concepts of neuralnetwork via numpy

Open Set Recognition

MNIST classifier built for TensorFlow Lite - Android, iOS and other "lite" platforms

Code implementation of the paper "With Great Training Comes Great Vulnerability: Practical Attacks against Transfer Learning", at USENIX Security 2018

微信公众号数字识别

A sample Azure Machine Learning project for Transfer Learning-based custom image recognition by utilizing Keras.

A lightweight module for Multi-Task Learning in pytorch.

An easy to use open-source library for advanced Deep Learning and Natural Language Processing

Author: Wenhao Yu ([email protected]). EMNLP'20. Transfer Learning for Technical Question Answering.

Source code (train/test) accompanying the paper entitled "Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach" in CVPR 2019 (https://arxiv.org/abs/1903.10764).

A Flask web app for handwritten digit recognition using machine learning

A prototype version of our submitted paper: Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives.

Multiclass image classification using Convolutional Neural Network

A framework for large scale recommendation algorithms.

Transfer learning in Caffe: example on how to train CaffeNet on custom dataset

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