RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RN…

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…

Uplift modeling and causal inference with machine learning algorithms

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

Katana project is a FastAPI template for ASAP 🚀 ML API deployment

pyCausalFS：A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification

A french sequence to sequence pretrained model

Django REST Framework integration with SQLAlchemy

RGBD Semantic Segmentation on NYUv2, SUN RGBD and CityScapes (pretraining with SceneNet RGB-D)

seq2cause: Turns any discrete sequence of events into a causal graph using autoregressive models (LLaMA, GPT, RNN, Mamba).

Solution to homework problems 2021 of Chalmers Neural Network courses