237 Open source projects that are alternatives of or similar to Pathnet Pytorch

REVOLVER - Repeated Evolution in Cancer

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

(AAAI2020)Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human Parsing

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

Transfer learning algorithm TrAdaboost,coded by python

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

Alzheimer's Disease Prediction by using ResNet, AlexNet

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

FPGA Deployable Fire Detection Model for Real-Time Video Surveillance Systems Using Convolutional Neural Networks

Deepfakes Video classification via CNN, LSTM, C3D and triplets

Reverse Caller Id using TrueCaller

Awesome Multitask Learning Resources

Materials of the AI Journey 2020 competition dedicated to the recognition of Peter the Great's manuscripts, https://ai-journey.ru/contest/task01

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

A Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework

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

Resources about Artificial General Intelligence

Skin cancer classification using Inceptionv3

Inception V3 for Transfer Learning on Cats and Dogs

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

MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems

Media controller for Asterisk PBX (FastAGI Server)

A Clojure implementation of the Non-Axiomatic Reasoning System proposed by Pei Wang.

Deep Learning Computer Vision Algorithms for Real-World Use

Building a Neural Network that classifies faces using OpenCV and Tensorflow

Official Pytorch implementation of CutMix regularizer

Implementation of many transfer learning algorithms in Python with Jupyter notebooks

This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising"(KDD2021).

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

Code implementation of the paper "With Great Training Comes Great Vulnerability: Practical Attacks against Transfer Learning", at USENIX Security 2018

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

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

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

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

NLP library designed for reproducible experimentation management

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.

Tensorflow Implementation of open set domain adaptation by backpropagation

Transfer learning for time series classification

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

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

Repository to identify Lego bricks automatically only using images

Learning to Cluster. A deep clustering strategy.

Pen.el stands for Prompt Engineering in emacs. It facilitates the creation, discovery and usage of prompts to language models. Pen supports OpenAI, EleutherAI, Aleph-Alpha, HuggingFace and others. It's the engine for the LookingGlass imaginary web browser.

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

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

Forgetful Bloom filters

Multiclass image classification using Convolutional Neural Network

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

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

resources for the IBM Airlines Table-Question-Answering Benchmark

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

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

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

🔭 Speaker diarization via transfer learning

tensorflow deep RL for driving a rover around

Neural Paiters

Transfer Learning Toolkit for Primary Researchers

Gradients as Features for Deep Representation Learning

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