AdrianBZG
PhD in Machine Learning at University of Cambridge. AI Research Scientist. Research Scientist Intern @ Microsoft
University of CambridgeUnited Kingdom
Pinned Repositories
Algorithms-and-Data-Structures-II-2014
Codes for the subject "Advanced Algorithms and Data Structures". Language: C++
HyperBERT
Code for "HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs"
llama-multimodal-vqa
Multimodal Instruction Tuning for Llama 3
LLM-distributed-finetune
Tune efficiently any LLM model from HuggingFace using distributed training (multiple GPU) and DeepSpeed. Uses Ray AIR to orchestrate the training on multiple AWS GPU instances
Medieval_Warfare_VR-Unity
Virtual Reality game for the Intelligent Interfaces subject, made with Unity Engine.
N_Queens_Puzzle
This repo stores the N Queens Problem solution written in Java, developed for the subject "Development of Interactive Applications", assignment 6. Date: 30/03/2016
Polyglotter
Code for "Translating synthetic natural language to database queries: a polyglot deep learning framework" (Nature Scientific Reports, 2021)
SFAVEL
Code for "Unsupervised Pretraining for Fact Verification by Language Model Distillation" (ICLR 2024)
SQLformer
Code for "SQLformer: Deep Auto-Regressive Query Graph Generation for Text-to-SQL Translation"
Twitter-Follow-Exploit
Automated Twitter mass account creation and follow using Selenium and Tor VPN
AdrianBZG's Repositories
AdrianBZG/BIOLITMAP
Code for the paper "BIOLITMAP: a web-based geolocated, temporal and thematic visualization of the evolution of bioinformatics publications", Bazaga et al. (2018). Accepted in Oxford Bioinformatics. doi:10.1093/bioinformatics/bty967
AdrianBZG/APPNP
A PyTorch implementation of "Combining Neural Networks with Personalized PageRank for Classification on Graphs" (ICLR 2019).
AdrianBZG/AttentionWalk
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
AdrianBZG/awesome-decision-tree-papers
A collection of research papers on decision, classification and regression trees with implementations.
AdrianBZG/awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
AdrianBZG/bigSCale2
Framework for clustering, phenotyping, pseudotiming and inferring gene regulatory networks from single cell data
AdrianBZG/Concrete-Autoencoders
AdrianBZG/dabestr
Data Analysis with Bootstrap Estimation in R
AdrianBZG/docker-debian-samp
Docker image based on Debian Jessie specifically for SA-MP plugin building
AdrianBZG/driver.js
A light-weight, no-dependency, vanilla JavaScript engine to drive the user's focus across the page
AdrianBZG/EnhancedVolcano
Publication-ready volcano plots with enhanced colouring and labeling
AdrianBZG/garage
A framework for reproducible reinforcement learning research
AdrianBZG/gcn
Implementation of Graph Convolutional Networks in TensorFlow
AdrianBZG/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
AdrianBZG/GraRep
A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).
AdrianBZG/javalin
A simple and modern Java and Kotlin web framework
AdrianBZG/joplin
Joplin - a note taking and to-do application with synchronization capabilities for Windows, macOS, Linux, Android and iOS. Forum: https://discourse.joplinapp.org/
AdrianBZG/MUSAE
The reference implementation of "Multi-scale Attributed Node Embedding".
AdrianBZG/NGCN
A PyTorch implementation of "A Higher-Order Graph Convolutional Layer" (NeurIPS 2018).
AdrianBZG/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
AdrianBZG/or-tools
Google's Operations Research tools:
AdrianBZG/pyod
A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
AdrianBZG/pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
AdrianBZG/reticulate
R Interface to Python
AdrianBZG/SEAL-CI
An implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
AdrianBZG/shap
A unified approach to explain the output of any machine learning model.
AdrianBZG/sklearn-deap
Use evolutionary algorithms instead of gridsearch in scikit-learn
AdrianBZG/TherapeuticMine
A public integrated database for therapeutic drug discovery research
AdrianBZG/umap-js
JavaScript implementation of UMAP
AdrianBZG/yelp-camp-refactored
Refactor of YelpCamp project with Express JS