237 Open source projects that are alternatives of or similar to translearn

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

This repository contains code for the O'Reilly Live Online Training for BERT

Attacking Vision based Perception in End-to-end Autonomous Driving Models

Awesome Graph Self-Supervised Learning

My solutions to the projects assigned for the Udacity Computer Vision Nanodegree

Multiclass image classification using Convolutional Neural Network

Adapt Transformer-based language models to new text domains

No description or website provided.

Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and T…

使用预训练好的InceptionV3模型对自己的数据进行分类，用这个代码的同学希望可以给一个star

Code for the paper: Adversarial Training Against Location-Optimized Adversarial Patches. ECCV-W 2020.

Real-time AI-powered translation of American sign language to text

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

This repository is for the transfer learning or domain adaptive with fault diagnosis.

Tensorflow Implementation of open set domain adaptation by backpropagation

CNN histopathologic tumor identifier.

Context-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020

Protein Language Model

Source code for the ICLR 2021 work "Generating Adversarial Computer Programs using Optimized Obfuscations"

SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression

This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), which has been accepted by WSDM2022.

Robustness benchmark for DNN models.

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

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"

No description or website provided.

Code for WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models.

A Simple but Powerful CNN Trainer For PyTorch

Repository for anime characters recognition website, powered by TensorFlow

reproduction of Thermometer Encoding: One Hot Way To Resist Adversarial Examples in pytorch

Your local Flux surgeon

Implementatoin of object detection using Tensorflow 2.1.0 | this can be use in a car for object detection

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

use transfer learning to detect smoke in images and videos

Code release of "Learning Transferable Features with Deep Adaptation Networks" (ICML 2015)

Athena: A Framework for Defending Machine Learning Systems Against Adversarial Attacks

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

Demo code for Attention-Aware Generative Adversarial Networks paper

The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-…

code for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"

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…

A multi agent path planning solution under a warehouse scenario using Q learning and transfer learning.🤖️

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

Scripts utilizing Heartex platform to build brand sentiment analysis from the news

Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)

A project on improving Neural Networks performance by using Genetic Algorithms.

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

Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches can be trained and classified using transfer learning techniques.

Speech command recognition DenseNet transfer learning from UrbanSound8k in keras tensorflow

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

Colab Compatible FastAI notebooks for NLP and Computer Vision Datasets

Code for the paper: "SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification"

Task-agnostic universal black-box attacks on computer vision neural network via procedural noise (CCS'19)

resource collection for transfer learning!

Repository to identify Lego bricks automatically only using images

Implementation of the paper "End to End Learning for Self-Driving Cars"

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

AU_Recognition based on CKPlus/CK database

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

A place to keep track of all the annotated papers.

Repository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.