Pinned Repositories
AdversarialVariationalBayes
This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".
autodl_starting_kit_stable
Starting kit for AutoCV/AutoDL challenge
cityscapesScripts
README and scripts for the Cityscapes Dataset
Concrete-Dropout
A clean TensorFlow implementation of Concrete Dropout
DL-LAB-intrinsic-motivation
gymx
Run OpenAI Gym environments on an external process or remote machine using gRPC.
IRDM-2017-Option-2
Code for IRDM Project Option 2 at UCL
TensorFlow-Autoencoders
Implementations of autoencoder, generative adversarial networks, variational autoencoder and adversarial variational autoencoder
WeatherChart
A weather app showing current weather, temperature and humidity
JulienSiems's Repositories
JulienSiems/TensorFlow-Autoencoders
Implementations of autoencoder, generative adversarial networks, variational autoencoder and adversarial variational autoencoder
JulienSiems/WeatherChart
A weather app showing current weather, temperature and humidity
JulienSiems/DL-LAB-intrinsic-motivation
JulienSiems/IRDM-2017-Option-2
Code for IRDM Project Option 2 at UCL
JulienSiems/AdversarialVariationalBayes
This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".
JulienSiems/autodl_starting_kit_stable
Starting kit for AutoCV/AutoDL challenge
JulienSiems/cityscapesScripts
README and scripts for the Cityscapes Dataset
JulienSiems/Concrete-Dropout
A clean TensorFlow implementation of Concrete Dropout
JulienSiems/gymx
Run OpenAI Gym environments on an external process or remote machine using gRPC.
JulienSiems/HamiltonianSolver
Numerically solves equations of motion for a given Hamiltonian function
JulienSiems/is_mamba_capable_of_in_context_learning
JulienSiems/juliensiems.github.io
A simple and elegant Jekyll theme for an academic personal homepage
JulienSiems/lectures
Oxford Deep NLP 2017 course
JulienSiems/lucid
A collection of infrastructure and tools for research in neural network interpretability.
JulienSiems/mothernet
Mothernet: A Foundational Hypernetwork for Tabular Classification
JulienSiems/nas_benchmarks
JulienSiems/nasbench-1shot1
JulienSiems/NOMU
NOMU:Neural Optimization-based Model Uncertainty. __________________________________________ Maintained by Jakob Weissteiner (weissteiner), Hanna Wutte (HannaSW), Jakob Heiss (JakobHeiss) and Marius Högger (mhoegger).
JulienSiems/notebooks
Some sample IPython notebooks for scikit-learn
JulienSiems/optuna
A hyperparameter optimization framework
JulienSiems/probabilistic_unet
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
JulienSiems/pylevy
Levy distributions for Python
JulienSiems/sightly-blog
A blog using sightly and Apache Sling
JulienSiems/sort
Simple, online, and realtime tracking of multiple objects in a video sequence.
JulienSiems/tensorflow
Computation using data flow graphs for scalable machine learning
JulienSiems/tensorflow-windows-wheel
tensorflow Windows prebuilt wheel
JulienSiems/tutorial
Tutorial on basic usage of tf
JulienSiems/Voronoi-Image-Filter
A filter which uses a voronoi algorithm to tile up your image.
JulienSiems/wonnx
A WebGPU-accelerated ONNX inference run-time written 100% in Rust, ready for native and the web