DAPS

pytorch-tutorial-pydata-cambridge

Content of the presentation at the PyData meetup in Cambridge

conformal-node-classification

Conformal prediction for node classification (both transductive and inductive settings).

pytorch-demo

Future Talk 2019: Monitoring and Debugging Deep Neural Networks in PyTorch

CIR

Class-Incremental Learning with Repetition

SFBC

ICLR'24: Symmetric basis convolutions for learning lagrangian fluid mechanics

gognn_7412

learning-to-route

Code for ICML2019 paper: Learning to Route in Similarity Graphs

LLM-quickstart

Quick Start for Large Language Models (Theoretical Learning and Practical Fine-tuning) 大语言模型快速入门（...

pytorch-blender-dr

lora_cl_analysis

Code for the paper "An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Lo...

PythonWorkshop

Fundementals of Performace Tuning for Python Applications (Princeton U workshop)

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep...

notebooks

This repo contains notebooks that explaining some cool stuff we learn every now and then...

clusterability_in_neural_networks

handson-ml

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.