lnhutnam

ML-Papers-Explained

Explanation to key concepts in ML

X-KANeRF

X-KANeRF [KANeRF-benchmarking]: KAN based NeRF with various basis functions like B-Splines, Fourier, Gaussians, Wavelets, Polynomials, etc

DL4TP

[COLM 2024] A Survey on Deep Learning for Theorem Proving

HybridAGI

The Programmable Cypher-based Neuro-Symbolic AGI that lets you program its behavior using Graph-based Prompt Programming: for people who want AI to behave as expected

MoMo

MoMo: Momentum Models for Adaptive Learning Rates

NeuralPDE.jl

Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

ai4math-papers

AI for Mathematics (AI4Math) paper list

bspwm

A tiling window manager based on binary space partitioning

ImHex

🔍 A Hex Editor for Reverse Engineers, Programmers and people who value their retinas when working at 3 AM.

MDGRL

Code and dataset for MDGRL

kan-ode

Rough experiments on using Kolmogorov-Arnold Networks (KANs) as the replacement layers in a latent dynamics function, e.g. as the layers of a neural ODE.

KG-FIT

Knowledge Graph Fine-Tuning with Open-World Knowledge

NYU-Course-Notes-and-Resources

NYU Course Notes & Resources

xlstm

Official repository of the xLSTM.

llama3.cuda

llama3.cuda is a pure C/CUDA implementation for Llama 3 model.

FirstCourseNetworkScience

Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis

yolov10

YOLOv10: Real-Time End-to-End Object Detection

multi-table-benchmark

awesome-graph-explainability-papers

Papers about explainability of GNNs

Awesome-LLM4Graph-Papers

[KDD'2024 Survey+Tutorial] "LLM4Graph: A Survey of Large Language Models for Graphs"

kanrl

Kolmogorov-Arnold Network for Reinforcement Leaning, initial experiments

SpaceRL-KG

The reinforcement learning framework for Knowledge Graph Operations

OpenGraph

"OpenGraph: Towards Open Graph Foundation Models"

pykan

Kolmogorov Arnold Networks

nixos-and-flakes-book

:hammer_and_wrench: :heart: Want to know NixOS & Flakes in detail? Looking for a beginner-friendly tutorial? Then you've come to the right place! 想要学习使用 NixOS 与 Flakes 吗？在寻找一份新手友好的教程？那你可来对地方了！

yolov9

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

TopoNetX

Computing on Topological Domains

optim4rl

Optim4RL is a Jax framework of learning to optimize for reinforcement learning.

trl

Train transformer language models with reinforcement learning.

rl-generalization-paper

A list of papers regarding generalization in (deep) reinforcement learning