mona141200's Stars
jeffdonahue/bigan
code for "Adversarial Feature Learning"
andrewowens/multisensory
Code for the paper: Audio-Visual Scene Analysis with Self-Supervised Multisensory Features
BoyuanJiang/context_encoder_pytorch
PyTorch Implement of Context Encoders: Feature Learning by Inpainting
facebookresearch/deepcluster
Deep Clustering for Unsupervised Learning of Visual Features
samet-akcay/ganomaly
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
davidberend/FairnessMatters
Charmve/Surface-Defect-Detection
📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.
marco-rudolph/differnet
This is the official repository to the WACV 2021 paper "Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows" by Marco Rudolph, Bastian Wandt and Bodo Rosenhahn.
facebookresearch/Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
fastai/fastai
The fastai deep learning library
jbesomi/texthero
Text preprocessing, representation and visualization from zero to hero.
UKPLab/sentence-transformers
State-of-the-Art Text Embeddings
dhairyadalal/semantic-search
Simple library to support end-to-end semantic search. Built using FAISS and various embedding techniques
piyushpathak03/Recommendation-systems
Recommendation 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
WallaceLiu/faiss_learn
faiss_learn
bhavsarpratik/transformers
Implementations of transformer models in pytorch
gandalf012/SentenceBert-20newsgroup-Classifier
Classification pipeline based on sentenceTransformer and Facebook nearest-neighbor search library
MachineLP/TextMatch
QAmatch(qa_match)/文本匹配/文本分类/文本embedding/文本聚类/文本检索(bow/ifidf/ngramtf-df/bert/albert/bm25/…/nn/gbdt/xgb/kmeans/dscan/faiss/….)
facebookresearch/faiss
A library for efficient similarity search and clustering of dense vectors.
ynqa/faiss-server
faiss serving :)
allenai/scibert
A BERT model for scientific text.
kstathou/vector_engine
Build a semantic search engine with Transformers and Faiss
engmubarak48/Face-Recognition-System
Face recognition system that is based on MTCNN, FaceNet and Faiss
yubessy/example-faiss-recommender-api
Example app using facebookresearch/faiss inside web API for NMF based recommender system.
kazemnejad/text_similarity_search
An easy-to-use script for fast similarity search in the textual data (and embedding space) with GPU & Multi-core support.
ryanfb/skimage-orbs-faiss-example
Using Faiss to perform ORB feature descriptor matching with scikit-image