224 Open source projects that are alternatives of or similar to pytorch_cnn_trainer

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

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

Transfer Learning Shootout for PyTorch's model zoo (torchvision)

CNN image classifier implemented in Keras Notebook 🖼️.

a sklearn wrapper for Google's BERT model

Tensorflow source code for "CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise" (CVPR 2018)

《迁移学习简明手册》LaTex源码

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

BERT Dureader多文档阅读理解 排名第七

Play MK.js with TensorFlow.js

Almost any Image classification problem using pytorch

Image classification for everyone.

Face Recognition with Transfer Learning

Transfer Learning library for Deep Neural Networks.

Unseen Object Segmentation in Videos via Transferable Representations, ACCV 2018 (oral)

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

( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

Code for Learning to select data for transfer learning with Bayesian Optimization

tensorflow object detection api helper tool ( custom object detection )

Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

LASER multilingual sentence embeddings as a pip package

A collection of projects which explore image classification on chest x-ray images (via the NIH dataset)

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

Object classification with CIFAR-10 using transfer learning

kaggle Dog Breed Identification

IJCAI2020 & IJCV 2020 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo

Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem

Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020)

Implementation of a Neural Network that can detect whether a video is in-game or not

Classify whether an image is of a Spiral or an Elliptical Galaxy using Transfer Learning (Tensorflow)

Python toolbox for transfer learning.

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

✂️ Automated high-quality background removal framework for an image using neural networks. ✂️

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)

Building an image classifier using keras

Address book for computer vision models.

Transfer Learning for Anime Characters Recognition

A collection of AWESOME things about domian adaptation

Complete-Life-Cycle-of-a-Data-Science-Project

Implementation of ULMFit algorithm for text classification via transfer learning

Code for Sluice networks: Learning what to share between loosely related tasks

A guide to transfer learning with inception-resnet-v2.

code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"

🤖 Cozmo the Robot recognizes objects with TensorFlow

一些关于机器学习的学习资料与研究介绍

Class-Weighted Convolutional Features for Image Retrieval (BMVC 2017)

Improving Generalization via Scalable Neighborhood Component Analysis

Dialogue Knowledge Transfer Networks (DiKTNet)

Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation

Towards deepfake detection that actually works

🔍 Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications.

Building an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)

ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation (CVPR20)

中文ULMFiT 情感分析 文本分类

Tensorflow implementation of Semi-supervised Sequence Learning (https://arxiv.org/abs/1511.01432)

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

Repositório dos exemplos e desafios utilizados na disciplina de Visão Computacional do curso de MBA Machine Learning da FIAP

Video Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.