119 skills found · Page 1 of 4
gaoisbest / NLP Projectsword2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding
sacdallago / Bio EmbeddingsGet protein embeddings from protein sequences
eBay / Sequence Semantic EmbeddingTools and recipes to train deep learning models and build services for NLP tasks such as text classification, semantic search ranking and recall fetching, cross-lingual information retrieval, and question answering etc.
graytowne / Caser PytorchA PyTorch implementation of Convolutional Sequence Embedding Recommendation Model (Caser)
tbepler / Protein Sequence Embedding Iclr2019Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019
pytorch-lifestream / Pytorch LifestreamA library built upon PyTorch for building embeddings on discrete event sequences using self-supervision
530china / BitsButtonBitsButton: Embedded button framework leveraging binary bit sequences to detect single keys, combinations (Ctrl+C), and complex sequences (click-long-double). Features full press-release tracking and lock-free ring buffer for zero-loss multithreading.
piyushpathak03 / Recommendation SystemsRecommendation Systems This is a workshop on using Machine Learning and Deep Learning Techniques to build Recommendation Systesm Theory: ML & DL Formulation, Prediction vs. Ranking, Similiarity, Biased vs. Unbiased Paradigms: Content-based, Collaborative filtering, Knowledge-based, Hybrid and Ensembles Data: Tabular, Images, Text (Sequences) Models: (Deep) Matrix Factorisation, Auto-Encoders, Wide & Deep, Rank-Learning, Sequence Modelling Methods: Explicit vs. implicit feedback, User-Item matrix, Embeddings, Convolution, Recurrent, Domain Signals: location, time, context, social, Process: Setup, Encode & Embed, Design, Train & Select, Serve & Scale, Measure, Test & Improve Tools: python-data-stack: numpy, pandas, scikit-learn, keras, spacy, implicit, lightfm Notes & Slides Basics: Deep Learning AI Conference 2019: WhiteBoard Notes | In-Class Notebooks Notebooks Movies - Movielens 01-Acquire 02-Augment 03-Refine 04-Transform 05-Evaluation 06-Model-Baseline 07-Feature-extractor 08-Model-Matrix-Factorization 09-Model-Matrix-Factorization-with-Bias 10-Model-MF-NNMF 11-Model-Deep-Matrix-Factorization 12-Model-Neural-Collaborative-Filtering 13-Model-Implicit-Matrix-Factorization 14-Features-Image 15-Features-NLP Ecommerce - YooChoose 01-Data-Preparation 02-Models News - Hackernews Product - Groceries Python Libraries Deep Recommender Libraries Tensorrec - Built on Tensorflow Spotlight - Built on PyTorch TFranking - Built on TensorFlow (Learning to Rank) Matrix Factorisation Based Libraries Implicit - Implicit Matrix Factorisation QMF - Implicit Matrix Factorisation Lightfm - For Hybrid Recommedations Surprise - Scikit-learn type api for traditional alogrithms Similarity Search Libraries Annoy - Approximate Nearest Neighbour NMSLib - kNN methods FAISS - Similarity search and clustering Learning Resources Reference Slides Deep Learning in RecSys by Balázs Hidasi Lessons from Industry RecSys by Xavier Amatriain Architecting Recommendation Systems by James Kirk Recommendation Systems Overview by Raimon and Basilico Benchmarks MovieLens Benchmarks for Traditional Setup Microsoft Tutorial on Recommendation System at KDD 2019 Algorithms & Approaches Collaborative Filtering for Implicit Feedback Datasets Bayesian Personalised Ranking for Implicit Data Logistic Matrix Factorisation Neural Network Matrix Factorisation Neural Collaborative Filtering Variational Autoencoders for Collaborative Filtering Evaluations Evaluating Recommendation Systems
amyxlu / Cheap ProteinsJoint embedding of protein sequence and structure with discrete and continuous compressions of protein folding model latent spaces. http://bit.ly/cheap-proteins
howardhsu / DE CNNCode for ACL 2018 paper "Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction"
BIT-MJY / SeqOT[TIE 2022] SeqOT: A Spatial-Temporal Transformer Network for Place Recognition Using Sequential LiDAR Data.
tbepler / ProseMulti-task and masked language model-based protein sequence embedding models.
CreativeCodingLab / TextAnnotationGraphsA modular annotation system that supports complex, interactive annotation graphs embedded on top of sequences of text.
sberbank-ai-lab / Pytorch LifestreamA library built upon PyTorch for building embeddings on discrete event sequences using self-supervision
liyunlongaaa / NSD MS2SCHIME-7/8 diarization champion system: neural speaker diarization using memory-aware multi-speaker embedding with sequence-to-sequence architecture
microsoft / ExpressivePixelsExpressivePixels is an embedded prototype platform for ambient LED based displays that allows for the rapid assembly, authoring and control of animations and lighting sequences.
graytowne / CaserA Matlab implementation of Convolutional Sequence Embedding Recommendation Model (Caser)
gcorso / NeuroSEEDImplementation of Neural Distance Embeddings for Biological Sequences (NeuroSEED) in PyTorch (NeurIPS 2021)
yikunpku / RNA MSMNucleic Acids Research 2024：RNA-MSM model is an unsupervised RNA language model based on multiple sequences that outputs both embedding and attention map to match different types of downstream tasks.
BorchLab / TrexUsing TCR and expression for sequence embedding
