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Lists (6)
Starred repositories
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Notebooks and code for the book "Introduction to Machine Learning with Python"
mglearn helper package for "Introduction to Machine Learning with Python"
exploring whether LLMs perform case-based or rule-based reasoning
A set of LangChain Tutorials from my youtube channel
Characterizing possible failure modes in physics-informed neural networks.
Code for the paper "Understanding Generalization through Visualizations"
Exploring the Geometry and Topology of Neural Network Loss Landscapes
palle-k / tsne-pytorch
Forked from mxl1990/tsne-pytorchCUDA-accelerated PyTorch implementation of t-SNE
Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning adjustable weight coefficients.
A library for scientific machine learning and physics-informed learning
Universal Representations: A Unified Look at Multiple Task and Domain Learning
The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].
Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning
A PyTorch Library for Multi-Task Learning
2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.
Create animations for the optimization trajectory of neural nets
This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018
recurrent neural network based project
Animation of the motion a double-pendulum. Both Julia and Python versions of the code are given.
Counting the number of conservation laws from trajectory data
Code for our paper "Hamiltonian Neural Networks"