152 Open source projects that are alternatives of or similar to Hands-On-Deep-Learning-Algorithms-with-Python

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

A curated list of papers, code and resources pertaining to weak-shot classification, detection, and segmentation.

CapsuleNet for Micro-expression Recognition (IEEE FG 2019)

Local Binary Convolutional Neural Network for Facial Expression Recognition of Basic Emotions in Python using the TensorFlow framework

PyTorch implementation of the paper: Vector Projection Network for Few-shot Slot Tagging in Natural Language Understanding. Su Zhu, Ruisheng Cao, Lu Chen and Kai Yu.

medium blog supplementaries | Backprop | Resnet & ResNext | RNN |

Official repository of https://arxiv.org/abs/2111.04040v1

Recurrent Neural Network (LSTM) by using TensorFlow and Keras in Python for BitCoin price prediction

Official implementation of "An Algorithm for Routing Capsules in All Domains" (Heinsen, 2019) in PyTorch.

Another implementation of Hinton's capsule networks in tensorflow.

(ECCV 2020) PyTorch implementation of paper "Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild"

A C++11 implementation of the B-Tree part of "The Case for Learned Index Structures"

Tensorflow implementation for paper: Learning to Compare: Relation Network for Few-Shot Learning.

Finetuning any DNN for better embedding on neural search tasks

In these notebooks the entire research and implementation process carried out for the construction of various machine learning models based on neural networks that are capable of predicting levels of solar radiation is captured given a set of historical data taken by meteorological stations.

😄 从此爸妈没烦恼！！！

A non-official 100% PyTorch implementation of META-DATASET benchmark for few-shot classification

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

Code and data of ACL 2021 paper "Few-NERD: A Few-shot Named Entity Recognition Dataset"

Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection

Using Cartesian Genetic Programming to find an efficient Convolutional Neural Network architecture

Hand Written course notes of Deep Learning Specialization by Andrew NG on Coursera

Empirical studies on Capsule Network representation and improvements implemented with PyTorch.

Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning

[ICCV'21] Official PyTorch implementation of Relational Embedding for Few-Shot Classification

The implementation of LSTM in TensorFlow used for the stock prediction.

A siamese LSTM to detect sentence/question pairs.

FSL-Mate: A collection of resources for few-shot learning (FSL).

Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)

Code for ACL'2021 paper WARP 🌀 Word-level Adversarial ReProgramming. Outperforming `GPT-3` on SuperGLUE Few-Shot text classification. https://aclanthology.org/2021.acl-long.381/

Study and implementation about deep learning models, architectures, applications and frameworks

ICML'2022: Black-Box Tuning for Language-Model-as-a-Service

[IJCAI 2021] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation

a deep recurrent model for exchangeable data

Medical Q&A with Deep Language Models

A simple tensorflow implementation of CapsNet (by Dr. G. Hinton), based on my understanding. This repository is built with an aim to simplify the concept, implement and understand it.

<머신러닝 교과서 with 파이썬, 사이킷런, 텐서플로>의 코드 저장소

Generating Pokemon cards using a mixture of StyleGAN and RNN to create beautiful & vibrant cards ready for battle!

Inspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the linguistic style.

Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.

OpenMMLab FewShot Learning Toolbox and Benchmark

Various cognitive api for machine learning, vision, language intent alalysis. Covers traditional as well as deep learning model design and training.

A framework for large scale recommendation algorithms.

AI Exercise Rep Counter based on Google's Human Pose Estimation Library (Posenet)

Learning low-shot object classification with explicit shape bias learned from point clouds

"Arbitrary Style Transfer with Style-Attentional Networks" (CVPR 2019)

Codes for ACL-IJCNLP 2021 Paper "Zero-shot Fact Verification by Claim Generation"

ACL 2019 paper:Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification

[CVPR 2020 VL3] The repository for meta fine-tuning in cross-domain few-shot learning.

Laplacian Regularized Few Shot Learning

A curated list of papers, code and resources pertaining to few-shot image generation.

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

Code for our paper "Regularizing Neural Networks via Adversarial Model Perturbation", CVPR2021

Matching Networks for one-shot learning in tensorflow (NIPS'16)

An unofficial implementation of MemoPainter(Coloring With Limited Data: Few-shot Colorization via Memory Augmented Networks) using PyTorch framework.

Invert the color of MNIST images with PyTorch

A novel method for few shot learning

(CVPR 2021) Few-Shot Classification with Feature Map Reconstruction Networks

Transformer Chatbot in TensorFlow 2 with TPU support.