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Learn OpenCV : C++ and Python Examples
Deep Learning For Image Processing
deep learning for image processing including classification and object-detection etc.
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Turi Create simplifies the development of custom machine learning models.
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
all kinds of text classification models and more with deep learning
Build your neural network easy and fast, 莫烦Python中文教学
An open-source, low-code machine learning library in Python
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.
Cnn Text Classification Tf
Convolutional Neural Network for Text Classification in Tensorflow
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
🍊 📊 💡 Orange: Interactive data analysis
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
An easy to use PyTorch to TensorRT converter
Tensorflow tutorial from basic to hard
Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Accelerated deep learning R&D
Graph Convolutional Networks in PyTorch
Text Classification Cnn Rnn
Bert Chinese Text Classification Pytorch
StellarGraph - Machine Learning on Graphs
Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Sandbox for training deep learning networks
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
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.
Practical Machine Learning With Python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Automatic architecture search and hyperparameter optimization for PyTorch
Codebase for Image Classification Research, written in PyTorch.
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
CNNs for sentence classification
An open source library and framework for deep learning on satellite and aerial imagery.
Implementation of EfficientNet model. Keras and TensorFlow Keras.
This curated list contains python packages for time series analysis
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Deep neural network to extract intelligent information from invoice documents.
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains
Text Classification Algorithms: A Survey
Chinese Text Classification Pytorch
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
An Open-source Neural Hierarchical Multi-label Text Classification Toolkit
Papers and Datasets about Point Cloud.
An end-to-end PyTorch framework for image and video classification
Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.
Large-scale linear classification, regression and ranking in Python
Google Deep Learning Notes（TensorFlow教程）
An all-in-one toolkit for computer vision
Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。
[UNMAINTAINED] Automated machine learning for analytics & production
A Python package for time series classification
Alias is a teachable “parasite” that is designed to give users more control over their smart assistants, both when it comes to customisation and privacy. Through a simple app the user can train Alias to react on a custom wake-word/sound, and once trained, Alias can take control over your home assistant by activating it for you.
Data augmentation for NLP, presented at EMNLP 2019
MLBox is a powerful Automated Machine Learning python library.
Multi-class confusion matrix library in Python
Awesome Fraud Detection Papers
A curated list of data mining papers about fraud detection.
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastTex RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN
Dl 4 Tsc
Deep Learning for Time Series Classification
Classification with PyTorch.
Caffe models (including classification, detection and segmentation) and deploy files for famouse networks
DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
CVNets: A library for training computer vision networks
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
Cs231n 2017 Summary
After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.
Attention Gated Networks
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
OpenMMLab Model Compression Toolbox and Benchmark.
Graph Convolutional Networks for Text Classification. AAAI 2019
Text classifier for Hierarchical Attention Networks for Document Classification
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL
Unsupervised Language Modeling at scale for robust sentiment classification
Five Video Classification Methods
Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow
🤖 PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
Age detection in Tensorflow
Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost
Reference implementations of MLPerf™ inference benchmarks
A scikit-learn based module for multi-label et. al. classification
Cnn Text Classification Pytorch
CNNs for Sentence Classification in PyTorch
Source code of K-BERT (AAAI2020)
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
LAMA - automatic model creation framework
[pip install medmnist] 18 MNIST-like Datasets for 2D and 3D Biomedical Image Classification
Semi Supervised Learning
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
Bert Multi Label Text Classification
This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
A scikit-learn-compatible module for estimating prediction intervals.
Video Classification 3d Cnn Pytorch
Video classification tools using 3D ResNet
Keras implementation of Graph Convolutional Networks
Classification models trained on ImageNet. Keras.
Tf Rnn Attention
Tensorflow implementation of attention mechanism for text classification tasks.
a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results
A tool for learning vector representations of words and entities from Wikipedia
Image Test Time Augmentation with PyTorch!
Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo
Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN, TextBiRNN, TextAttBiRNN, HAN, RCNN, RCNNVariant, etc.
An intuitive library to extract features from time series.
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