AU RecognitionAU_Recognition based on CKPlus/CK database
Stars: ✭ 21 (-83.2%)
ModelsgenesisOfficial Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019
Stars: ✭ 416 (+232.8%)
entity-networkTensorflow implementation of "Tracking the World State with Recurrent Entity Networks" [https://arxiv.org/abs/1612.03969] by Henaff, Weston, Szlam, Bordes, and LeCun.
Stars: ✭ 58 (-53.6%)
Big transferOfficial repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
Stars: ✭ 1,096 (+776.8%)
XlearnTransfer Learning Library
Stars: ✭ 406 (+224.8%)
deep-scite🚣 A simple recommendation engine (by way of convolutions and embeddings) written in TensorFlow
Stars: ✭ 20 (-84%)
mkdocs-static-i18nMkDocs i18n plugin using static translation markdown files
Stars: ✭ 78 (-37.6%)
TrainyourownyoloTrain a state-of-the-art yolov3 object detector from scratch!
Stars: ✭ 399 (+219.2%)
towheeTowhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
Stars: ✭ 821 (+556.8%)
deep-char-cnn-lstmDeep Character CNN LSTM Encoder with Classification and Similarity Models
Stars: ✭ 20 (-84%)
Qh finsight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)
Stars: ✭ 55 (-56%)
mtdataA tool that locates, downloads, and extracts machine translation corpora
Stars: ✭ 95 (-24%)
Flow ForecastDeep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
Stars: ✭ 368 (+194.4%)
CesiWWW 2018: CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information
Stars: ✭ 85 (-32%)
Pytorch Continuous Bag Of WordsThe Continuous Bag-of-Words model (CBOW) is frequently used in NLP deep learning. It's a model that tries to predict words given the context of a few words before and a few words after the target word.
Stars: ✭ 50 (-60%)
translate-components🌎🌍🌏 translate-components provides a super simple translation for React.
Stars: ✭ 16 (-87.2%)
Nlp CubeNatural Language Processing Pipeline - Sentence Splitting, Tokenization, Lemmatization, Part-of-speech Tagging and Dependency Parsing
Stars: ✭ 353 (+182.4%)
CPCE-3DLow-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018
Stars: ✭ 40 (-68%)
BigcidianPronunciation lexicon covering both English and Chinese languages for Automatic Speech Recognition.
Stars: ✭ 99 (-20.8%)
wink-tokenizerMultilingual tokenizer that automatically tags each token with its type
Stars: ✭ 51 (-59.2%)
Amazon Forest Computer VisionAmazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks
Stars: ✭ 346 (+176.8%)
next-multilingualAn opinionated end-to-end solution for Next.js applications that requires multiple languages.
Stars: ✭ 135 (+8%)
Ner BertBERT-NER (nert-bert) with google bert https://github.com/google-research.
Stars: ✭ 339 (+171.2%)
aml-keras-image-recognitionA sample Azure Machine Learning project for Transfer Learning-based custom image recognition by utilizing Keras.
Stars: ✭ 14 (-88.8%)
Ddc Transfer LearningA simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance
Stars: ✭ 83 (-33.6%)
Multilingual text to speechAn implementation of Tacotron 2 that supports multilingual experiments with parameter-sharing, code-switching, and voice cloning.
Stars: ✭ 324 (+159.2%)
info-retrievalInformation Retrieval in High Dimensional Data (class deliverables)
Stars: ✭ 33 (-73.6%)
Lib I18nThe library `Lib-I18N` allows a developer to bind a key-value pair of a `.properties` file to a [StringBinding]. This makes it very easy to change the language during runtime in a [JavaFX] application.
Stars: ✭ 40 (-68%)
Contextualized Topic ModelsA python package to run contextualized topic modeling. CTMs combine BERT with topic models to get coherent topics. Also supports multilingual tasks. Cross-lingual Zero-shot model published at EACL 2021.
Stars: ✭ 318 (+154.4%)
deep-learningProjects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the…
Stars: ✭ 43 (-65.6%)
Dna2vecdna2vec: Consistent vector representations of variable-length k-mers
Stars: ✭ 117 (-6.4%)
VectorhubVector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)
Stars: ✭ 317 (+153.6%)
WSDM2022-PTUPCDRThis is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), which has been accepted by WSDM2022.
Stars: ✭ 65 (-48%)
CleoraCleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.
Stars: ✭ 303 (+142.4%)
self-driving-carImplementation of the paper "End to End Learning for Self-Driving Cars"
Stars: ✭ 54 (-56.8%)
VuetranslateVueJS plugin for translations
Stars: ✭ 82 (-34.4%)
geommGeometry-aware Multilingual Embeddings
Stars: ✭ 23 (-81.6%)
Pytorch Nlp NotebooksLearn how to use PyTorch to solve some common NLP problems with deep learning.
Stars: ✭ 293 (+134.4%)
meta-learning-progressRepository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.
Stars: ✭ 26 (-79.2%)
WitWIT (Wikipedia-based Image Text) Dataset is a large multimodal multilingual dataset comprising 37M+ image-text sets with 11M+ unique images across 100+ languages.
Stars: ✭ 271 (+116.8%)
Haystack🔍 Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications.
Stars: ✭ 3,409 (+2627.2%)
OpentpodOpen Toolkit for Painless Object Detection
Stars: ✭ 106 (-15.2%)
Ml Surveys📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
Stars: ✭ 1,063 (+750.4%)
Lmdb EmbeddingsFast word vectors with little memory usage in Python
Stars: ✭ 404 (+223.2%)
VarCLRVarCLR: Variable Semantic Representation Pre-training via Contrastive Learning
Stars: ✭ 30 (-76%)