347 Open source projects that are alternatives of or similar to Gradfeat20

A comprehensive list of awesome contrastive self-supervised learning papers.

Awesome Graph Self-Supervised Learning

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

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

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

Experiments for understanding disentanglement in VAE latent representations

SCAN: Learning to Classify Images without Labels (ECCV 2020), incl. SimCLR.

Abstractive summarisation using Bert as encoder and Transformer Decoder

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

Official Pytorch implementation of CutMix regularizer

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

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

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

Federated Learning Library: https://fedml.ai

Keras implementation of Representation Learning with Contrastive Predictive Coding

Skin cancer classification using Inceptionv3

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

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

Deep Learning Computer Vision Algorithms for Real-World Use

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

Chest Xray image analysis using Deep learning !

Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.

Representation-Learning-on-Heterogeneous-Graph

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.

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

和（he for objective-c） —— “信息熵减机系统”

Transfer Learning Library

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

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

Python implementation of bag-of-concepts

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

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

Awesome Multitask Learning Resources

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

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

Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"

Keras implementation of BERT with pre-trained weights

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

The implementation of DeBERTa

Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)

GraphVite: A General and High-performance Graph Embedding System

SMORe: Modularize Graph Embedding for Recommendation

Unsupervised Feature Learning via Non-parametric Instance Discrimination

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

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

AutoGluon: AutoML for Text, Image, and Tabular Data

NLP Paper

NLP library designed for reproducible experimentation management

Deepfakes Video classification via CNN, LSTM, C3D and triplets

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

Transfer learning for time series classification

Python library for knowledge graph embedding and representation learning.

The Tensorflow code for this ACL 2018 paper: "Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms"

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

Self-Supervised Speech Pre-training and Representation Learning Toolkit.

Graph convolutional neural network for multirelational link prediction

Multilingual Meta-Embeddings for Named Entity Recognition (RepL4NLP & EMNLP 2019)

A collection of research on knowledge graphs

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