466 Open source projects that are alternatives of or similar to transfertools

🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

BERT Dureader多文档阅读理解 排名第七

PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks

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

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

CNN image classifier implemented in Keras Notebook 🖼️.

🔤 Calculate average word embeddings (word2vec) from documents for transfer learning

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

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

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

A minimal pytorch package implementing a gradient reversal layer.

Transfer Learning Library

Deep-learning seismic facies on state-of-the-art CNN architectures

Play MK.js with TensorFlow.js

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

Train a state-of-the-art yolov3 object detector from scratch!

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

Deepfakes Video classification via CNN, LSTM, C3D and triplets

LASER multilingual sentence embeddings as a pip package

Almost any Image classification problem using pytorch

Abstractive summarisation using Bert as encoder and Transformer Decoder

Image classification for everyone.

Reinforcement Learning and Transfer Learning based StarCraft Micromanagement

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

Object classification with CIFAR-10 using transfer learning

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

EasyTransfer is designed to make the development of transfer learning in NLP applications easier.

kaggle Dog Breed Identification

a sklearn wrapper for Google's BERT model

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

Official Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019

Open Toolkit for Painless Object Detection

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

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

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.

Applying NLP transfer learning techniques to predict Tweet stance

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

Tensorflow Implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

Transfer Learning library for Deep Neural Networks.

BERT-NER (nert-bert) with google bert https://github.com/google-research.

Awesome Resources for Advanced Computer Vision Topics

Deep Learning Computer Vision Algorithms for Real-World Use

Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification (AAAI'19)

Chest Xray image analysis using Deep learning !

VGG-19 deep learning model trained using ISCX 2012 IDS Dataset

Learn how to use PyTorch to solve some common NLP problems with deep learning.

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

AutoGluon: AutoML for Text, Image, and Tabular Data

NLP library designed for reproducible experimentation management

和（he for objective-c） —— “信息熵减机系统”

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

Transfer learning for time series classification

Learning to Cluster. A deep clustering strategy.

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

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.

🦄 State-of-the-Art Conversational AI with Transfer Learning