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).

econishe

Econishe

GNNPapers

Must-read papers on graph neural networks (GNN)

robustness-gym

Robustness Gym: Evaluation Toolkit for NLP

torch-nilm

al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

Algorithms

Free hands-on course with the implementation (in Python) and description of several computational, mathematical and statistical algorithms.

christofernal.github.io

demucs

Code for the paper Hybrid Spectrogram and Waveform Source Separation

disentangling-vae

Experiments for understanding disentanglement in VAE latent representations

entropy-audio-feature-pooling

Experiments on two audio classification tasks, investigating the behavior of feature pooling based on the maxent principle.

independent-mechanism-analysis

Code for the paper: "Independent mechanism analysis, a new concept?"

InformationTheory

Documents for Information Theory used in Master of Logic course Information Theory at the UvA

L_DMI

Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"

lit

The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.

ml-glossary

Machine learning glossary

ML-YouTube-Courses

📺 Discover the latest machine learning / AI courses on YouTube.

ML_course

EPFL Machine Learning Course, Fall 2019

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.

OptML_course

EPFL Course - Optimization for Machine Learning - CS-439

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.

RL4LMs

A modular RL library to fine-tune language models to human preferences

robustness_metrics

silg

speechbrain

A PyTorch-based Speech Toolkit

TextWorldExpress

Super fast implementations of common benchmark text world games

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/

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

Vision-DiffMask

Official PyTorch implementation of Vision DiffMask, a post-hoc interpretation method for vision models.

wilds

A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.