216 Open source projects that are alternatives of or similar to Jiant

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

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

Keras implementation of BERT with pre-trained weights

TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

A library for transfer learning by reusing parts of TensorFlow models.

Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

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

Transfer Learning Toolkit for Primary Researchers

NLP library designed for reproducible experimentation management

Transfer-Learning-Library

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

🔭 Speaker diarization via transfer learning

Gradients as Features for Deep Representation Learning

Transfer Learning Library

国内首个迁移学习赛题 中国平安前海征信“好信杯”迁移学习大数据算法大赛 FInSight团队作品(算法方案排名第三)

Abstractive summarisation using Bert as encoder and Transformer Decoder

🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

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

tensorflow deep RL for driving a rover around

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

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

Transfer learning for time series classification

Automatic feature extraction and node role assignment for transfer learning on graphs (ReFeX & RolX)

resources for the IBM Airlines Table-Question-Answering Benchmark

Federated Learning Library: https://fedml.ai

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

code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"

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

NLP Paper

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

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

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

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

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

Awesome Multitask Learning Resources

Deepfakes Video classification via CNN, LSTM, C3D and triplets

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

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

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

Skin cancer classification using Inceptionv3

Deep Learning Computer Vision Algorithms for Real-World Use

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

Chest Xray image analysis using Deep learning !

Official Pytorch implementation of CutMix regularizer

AutoGluon: AutoML for Text, Image, and Tabular Data

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

和（he for objective-c） —— “信息熵减机系统”

Repository of code for the tutorial on Transfer Learning in NLP held at NAACL 2019 in Minneapolis, MN, USA

Learning to Cluster. A deep clustering strategy.

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

Awesome Domain Adaptation Python Toolbox

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

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

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

Cross-domain NER using cross-domain language modeling, code for ACL 2019 paper

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Neural Paiters

High Quality Monocular Depth Estimation via Transfer Learning

A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.