ChristoferNal
Machine Learning Researcher -Interested in exploring the foundations of deep learning through the lens of information theory.
Global
Pinned Repositories
awesome-nilm
A curated resources of awesome NILM resources
custom-pooling-operation
Learn how to create a pooling operation from scratch using Pytorch (python) or building your own C++ extension.
econishe
Econishe
kaggle-mercedes
multi-nilm
Multi-NILM: Multi Label Non Intrusive Load Monitoring
Neural-Fourier-Energy-Disaggregation
A pytorch implementation of the architecture of the proposed model Neural Fourier Energy Disaggregation (NFED) for the problem of non-intrusive load monitoring (NILM).
pooling-operations-and-information-theory
This repository contains the experiments that are described in the paper "A Theoretical Analysis of Pooling Operation Using Information Theory"
power-disaggregation-complexity
neural-disaggregator
Code for NILM experiments using Neural Networks. Uses Keras/Tensorflow and the NILMTK.
torch-nilm
ChristoferNal's Repositories
ChristoferNal/Neural-Fourier-Energy-Disaggregation
A pytorch implementation of the architecture of the proposed model Neural Fourier Energy Disaggregation (NFED) for the problem of non-intrusive load monitoring (NILM).
ChristoferNal/econishe
Econishe
ChristoferNal/GNNPapers
Must-read papers on graph neural networks (GNN)
ChristoferNal/robustness-gym
Robustness Gym: Evaluation Toolkit for NLP
ChristoferNal/torch-nilm
ChristoferNal/al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
ChristoferNal/Algorithms
Free hands-on course with the implementation (in Python) and description of several computational, mathematical and statistical algorithms.
ChristoferNal/christofernal.github.io
ChristoferNal/demucs
Code for the paper Hybrid Spectrogram and Waveform Source Separation
ChristoferNal/disentangling-vae
Experiments for understanding disentanglement in VAE latent representations
ChristoferNal/entropy-audio-feature-pooling
Experiments on two audio classification tasks, investigating the behavior of feature pooling based on the maxent principle.
ChristoferNal/independent-mechanism-analysis
Code for the paper: "Independent mechanism analysis, a new concept?"
ChristoferNal/InformationTheory
Documents for Information Theory used in Master of Logic course Information Theory at the UvA
ChristoferNal/L_DMI
Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"
ChristoferNal/lit
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
ChristoferNal/ml-glossary
Machine learning glossary
ChristoferNal/ML-YouTube-Courses
📺 Discover the latest machine learning / AI courses on YouTube.
ChristoferNal/ML_course
EPFL Machine Learning Course, Fall 2019
ChristoferNal/nn
🧠 Minimal implementations/tutorials of deep learning papers with side-by-side notes; including transformers (original, xl, switch, feedback), optimizers(adam, radam, adabelief), gans(dcgan, cyclegan), reinforcement learning (ppo, dqn), capsnet, sketch-rnn, etc.
ChristoferNal/OptML_course
EPFL Course - Optimization for Machine Learning - CS-439
ChristoferNal/qlib
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.
ChristoferNal/RL4LMs
A modular RL library to fine-tune language models to human preferences
ChristoferNal/robustness_metrics
ChristoferNal/silg
ChristoferNal/speechbrain
A PyTorch-based Speech Toolkit
ChristoferNal/TextWorldExpress
Super fast implementations of common benchmark text world games
ChristoferNal/ThoughtSource
A central, open resource for data and tools related to chain-of-thought reasoning in large language models. Developed @ Samwald research group: https://samwald.info/
ChristoferNal/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
ChristoferNal/Vision-DiffMask
Official PyTorch implementation of Vision DiffMask, a post-hoc interpretation method for vision models.
ChristoferNal/wilds
A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.