Matheart

libpku

贵校课程资料民间整理

loss-landscape

Code for visualizing the loss landscape of neural nets

penzai

A JAX research toolkit for building, editing, and visualizing neural networks.

natural-instructions

Expanding natural instructions

depyf

depyf is a tool to help you understand and adapt to PyTorch compiler torch.compile.

llamafia.github

ODE-DL

Paper List For Linking ODE and Deep Learning

Awesome-Forgetting-in-Deep-Learning

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. arXiv:2307.09218.

loss-landscape-anim

Create animations for the optimization trajectory of neural nets

diffusion-visualizations

Visualizations of the theory behind diffusion models.

icl_task_vectors

Awesome-ScalingLaws

A curated list of awesome resources dedicated to Scaling Laws for LLMs

course.math_theory_nn

Summer course on mathematical theory of deep learning

Data-centric_multimodal_LLM

Survey on Data-centric Large Language Models

Plots

This repo contains my customised style python based plots for NLP papers, and includes my reproduction for my favourite papers' plots

cs-552-modern-nlp

Repository for EPFL's CS-552: Modern NLP class

SCNU-Typst-Template

SCNU本科学位论文和幻灯片模板

sam-low-rank-features

Sharpness-Aware Minimization Leads to Low-Rank Features [NeurIPS 2023]

transformers-as-statisticians

rnn-icrag

Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"

Curse-of-memory

Curse-of-memory phenomenon of RNNs in sequence modelling

F-SAM

[CVPR 2024] Friendly Sharpness-Aware Minimization

ust-rankings

UST Rankings provides a basic rankings for instructors at HKUST, based on their teaching performance.

Dual_Operating_Modes_of_ICL

awesome-sharpeness-aware-minimization

transformers-GCD-PR

🤗 Transformers with Context-Free Grammar Generation Support

Course-Project

Courses Projects at PKU and EPFL

project-code-2024

frogbubbletea.github.io

My webpage! 🍵

MOD-epfl

Repository for the practical exercises of the course Mathematics of data: from theory to computation (EE-556) at EPFL