176 Open source projects that are alternatives of or similar to MoTIS

📑 Neural Search

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

Cluster Algorithms from Scratch with Julia Lang. (K-Means and DBSCAN)

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An open-source vector database for embedding similarity search and AI applications.

Super fast simple k-means implementation for unidimiensional and multidimensional data.

🍡 文本聚类 k-means算法及实战

Search photos on Unsplash based on OpenAI's CLIP model, support search with joint image+text queries and attention visualization.

Cloud-native neural search framework for 𝙖𝙣𝙮 kind of data

⚡ A fast embedded library for approximate nearest neighbor search

Locality Sensitive Hashing in Rust with Python bindings

Collections of vector search related libraries, service and research papers

Automatic license plate recognition for Indonesian plate (White on black)

An Unsupervised Distance Learning Framework for Multimedia Retrieval

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

An Interactive Approach to Understanding Supervised Learning Algorithms

Extract video features from raw videos using multiple GPUs. We support RAFT and PWC flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, ResNet features.

Supplementary code for SHREC 2017 RGB-D Object-to-CAD Retrieval track

Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch

CLIP (Contrastive Language–Image Pre-training) for Italian

Topic modelling on financial news with Natural Language Processing

Localize to Classify and Classify to Localize: Mutual Guidance in Object Detection

AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics

(CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet mining with Reinforcement Learning.

Plexus - Interactive Emotion Visualization based on Social Media

Misc Statistics and Machine Learning codes in R

In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs

Using efficientnet to provide embeddings for retrieval

Animated Visualizations of Popular Machine Learning Algorithms

FUKinect-Fall dataset was created using Kinect V1. The dataset includes walking, bending, sitting, squatting, lying and falling actions performed by 21 subjects between 19-72 years of age.

Research code for ACL 2020 paper: "Distilling Knowledge Learned in BERT for Text Generation".

Intel® Neural Compressor (formerly known as Intel® Low Precision Optimization Tool), targeting to provide unified APIs for network compression technologies, such as low precision quantization, sparsity, pruning, knowledge distillation, across different deep learning frameworks to pursue optimal inference performance.

OCR Machine Learning in python

Machine Learning for Spot Prices

Word2Vec encodings based search engine for Stackoverflow questions

Clipboard support for Vim without +clipboard

Code to download web-images

LSH index for approximate set containment search

The relocalization task aims to estimate the 6-DoF pose of a novel (unseen) frame in the coordinate system given by the prior model of the world.

A Tensorflow retrieval (space embedding) baseline. Metric learning baseline on CUB and Stanford Online Products.

Official PyTorch Implementation of Embedding Transfer with Label Relaxation for Improved Metric Learning, CVPR 2021

Deep Metric and Hash Code Learning Network for Content Based Retrieval of Remote Sensing Images

Building Annoy Index on Apache Spark

Web Scraping, Document Deduplication & GPT-2 Fine-tuning with a newly created scam dataset.

A PaddlePaddle version implementation of CLIP of OpenAI.

Cineast is a multi-feature content-based mulitmedia retrieval engine. It is capable of retrieving images, audio- and video sequences as well as 3d models based on edge or color sketches, textual descriptions and example objects.

Local image generation using VQGAN-CLIP or CLIP guided diffusion

A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

Python implementation of cross-modal hashing algorithms

Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers

[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

Implementation of a Quantum inspired genetic algorithm proposed by A quantum-inspired genetic algorithm for k-means clustering paper.

Code and resources on scalable and efficient Graph Neural Networks

Easily create videoclips with mpv.

Comparison of active site and full kinase sequences for drug-target affinity prediction and molecular generation. Full paper: https://pubs.acs.org/doi/10.1021/acs.jcim.1c00889

Locality Sensitive Hashing for semantic similarity (Python 3.x)

SHARP: Single-cell RNA-seq Hyper-fast and Accurate processing via ensemble Random Projection

微信小程序: 识图娘

Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification