Stars
"MiniRAG: Making RAG Simpler with Small and Open-Sourced Language Models"
This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera
[NeurIPS 2023] Release LMV-Med pre-trained models
Multi channel notification service for collaboration tools, e-commerce, news service and more.
Holder for Pages and Materials for the CODATA/RDA Schools for Research Data Science
Cell Segmentation and Counting based on Gray Lvel Clustering (CSC).
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
This project analyzes the results of various models for Link Prediction on Knowledge Graphs using Knowledge Graph Embeddings. It allows to replicate the results in our work "Knowledge Graph Embeddi…
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond
Gated Recurrent Unit with a Decay mechanism for Multivariate Time Series with Missing Values
Web scraping PubMed database and paper information visualization
Knowledge Distillation as Semiparametric Inference
Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data
Framework for evaluating Graph Neural Network models on semi-supervised node classification task
Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
Source code of paper "[NIPS2017] Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model"
Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.
Text Classification by Convolutional Neural Network in Keras
Public facing notes page
A Python implementation of global optimization with gaussian processes.
A crash course in six episodes for software developers who want to become machine learning practitioners.