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

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

TensorFlow-based implementation of (Gaussian) Mixture Model and some other examples.

Locality Sensitive Hashing for Go (Multi-probe LSH, LSH Forest, basic LSH)

Animated Visualizations of Popular Machine Learning Algorithms

Papers from top conferences and journals for event extraction in recent years

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".

To identify the driver's drowsiness based on real-time camera image and image processing techniques. 졸음운전 감지 시스템. OpenCV

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.

NAACL'19: "Jointly Optimizing Diversity and Relevance in Neural Response Generation"

OCR Machine Learning in python

The release of the FreebaseQA data set (NAACL 2019).

Machine Learning for Spot Prices

Deep Recommenders

Word2Vec encodings based search engine for Stackoverflow questions

NAACL2021 - COIL Contextualized Lexical Retriever

Clipboard support for Vim without +clipboard

Code to download web-images

KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means

fast.ai starter kit for Google Landmark Retrieval 2019 challenge

LSH index for approximate set containment search

libfmp - Python package for teaching and learning Fundamentals of Music Processing (FMP)

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.

Audio Synchronization and Analysis Tool

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

Fielded Sequential Dependence Model (code and runs)

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

Minhash LSH in Golang

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

Accurate and Fast ALSH for Maximum Inner Product Search (KDD 2018)

Building Annoy Index on Apache Spark

微信小程序: 识图娘

Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification

Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.

Pytorch ReID: A tiny, friendly, strong pytorch implement of object re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

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

A PaddlePaddle version implementation of CLIP of OpenAI.

Anime Scene Search by Image

Local image generation using VQGAN-CLIP or CLIP guided diffusion

Python Image Search Engine with OpenCV

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.

🔎 A simple yet powerful module to retrieve organic search results and much more from Google.

Implementing Content based and Collaborative filtering(with KNN, Matrix Factorization and Neural Networks) in Python

Search IQDB from CLI

Python implementation of cross-modal hashing algorithms

Localization Distillation for Dense Object Detection (CVPR 2022)

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…

Code and resources on scalable and efficient Graph Neural Networks

Implementation of the k-means algorithm in PyTorch that works for large datasets

Easily create videoclips with mpv.

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

The "breathing k-means" algorithm with datasets and example notebooks

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

An Object Detection Knowledge Distillation framework powered by pytorch, now having SSD and yolov5.

Implementing Genetic Algorithm on K-Means and compare with K-Means++

Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)

🧿 Pupyl is a really fast image search library which you can index your own (millions of) images and find similar images in milliseconds.

A document covering machine learning basics. 🤖📊

Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection (ACM MM 2018)

Palladian is a Java-based toolkit with functionality for text processing, classification, information extraction, and data retrieval from the Web.