Christoforos Nalmpantis's Projects
:earth_americas: machine learning algorithms tutorials (mainly in Python3)
Machine learning glossary
📺 Discover the latest machine learning / AI courses on YouTube.
EPFL Machine Learning Course, Fall 2019
Models built with TensorFlow
Multi-NILM: Multi Label Non Intrusive Load Monitoring
A pytorch implementation of the architecture of the proposed model Neural Fourier Energy Disaggregation (NFED) for the problem of non-intrusive load monitoring (NILM).
Non-Intrusive Load Monitoring Toolkit (nilmtk)
🧠 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.
EPFL Course - Optimization for Machine Learning - CS-439
This repository contains the experiments that are described in the paper "A Theoretical Analysis of Pooling Operation Using Information Theory"
Speech commands recognition with PyTorch | Kaggle 10th place solution in TensorFlow Speech Recognition Challenge
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.
A modular RL library to fine-tune language models to human preferences
Robustness Gym: Evaluation Toolkit for NLP
Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"
A PyTorch-based Speech Toolkit
Super fast implementations of common benchmark text world games
This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
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/
A playbook for systematically maximizing the performance of deep learning models.
Official PyTorch implementation of Vision DiffMask, a post-hoc interpretation method for vision models.