dionman

Adversarial-Examples-Reading-List

This is the reading list mainly on adversarial examples (attacks, defenses, etc.) I try to keep and update regularly.

App-DL

Deep Learning and applications in Startups, CV, Text Mining, NLP

appliedai_daftpgmdemo

Barebones repo to demonstrate usage of `daft-pgm`, a small package for drawing plate notation diagrams purely in Python.

AWE

Compute graph embeddings via Anonymous Walk Embeddings

awesome-embedding-models

A curated list of awesome embedding models tutorials, projects and communities.

awesome-network-embedding

A curated list of network embedding techniques.

awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going).

beta-cores

Coresets for scalable robust pseudo-Bayesian inference

thesis

PhD thesis on "Data summarizations for scalable, robust and privacy-aware learning in high-dimensions", Department of Computer Science & Technology, University of Cambridge

Blackbox-Coresets-VI

A suite for blackbox variational inference using families of posterior approximations parameterised via learnable weighted summarising (pseudo)data.

dionman/beta-cores

Coresets for scalable robust pseudo-Bayesian inference

dionman/thesis

PhD thesis on "Data summarizations for scalable, robust and privacy-aware learning in high-dimensions", Department of Computer Science & Technology, University of Cambridge

dionman/AWE

Compute graph embeddings via Anonymous Walk Embeddings

dionman/awesome-network-embedding

A curated list of network embedding techniques.

dionman/Adversarial-Examples-Reading-List

This is the reading list mainly on adversarial examples (attacks, defenses, etc.) I try to keep and update regularly.

dionman/awesome-embedding-models

A curated list of awesome embedding models tutorials, projects and communities.

dionman/awesome-readme

A curated list of awesome READMEs

dionman/bayesian-coresets

Automated Scalable Bayesian Inference

dionman/be_great

A novel approach for synthesizing tabular data using pretrained large language models

dionman/dataset-distillation

Dataset Distillation

dionman/device-analyzer-scripts

dionman/GEM

dionman/gemini

Gemini is a modern LaTex beamerposter theme 🖼

dionman/glmnet_python

dionman/gpu_memory_profiling

Profile the GPU memory usage of every line in a Pytorch code

dionman/graphnn

Training computational graph on top of structured data (string, graph, etc)

dionman/higher

higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.

dionman/hypertorch

dionman/pathpy

An OpenSource python package for the analysis of sequential data on pathways and temporal networks using multi-order graphical models

dionman/population-gcn

Graph CNNs for population graphs

dionman/probability

Probabilistic reasoning and statistical analysis in TensorFlow

dionman/PyTorch-Reparam-Module

Reparameterize your PyTorch modules

dionman/synthcity

A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.

dionman/ultimate-beamer-theme-list

A collection of custom Beamer themes

dionman/VAE-TensorFlow

Implementation of a Variational Auto-Encoder in TensorFlow

dionman/vae_cf

Variational autoencoders for collaborative filtering

dionman/variational-autoencoder

Variational Autoencoder / Deep Latent Gaussian Model demo & tutorial

dionman/Variational-Autoencoder-1

Implementation of a variational Auto-encoder

dionman/vitae

dionman/webpage

cambridge webpage