Aaron Lou's repositories
Score-Entropy-Discrete-Diffusion
[ICML 2024 Oral] Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)
Reflected-Diffusion
[ICML 2023] Reflected Diffusion Models (https://arxiv.org/abs/2304.04740)
GAN-Q-Learning
Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874
CS294_homework
My solutions to Berkeley's CS294 (Deep Reinforcement Learning) Homework
TopologicalDeepLearning
A collection of Topology Methods in Deep Learning
Scaling-Riemannian-Diffusion
[NeurIPS 2023] Scaling Riemannian Diffusion Models
Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
CoupSimulation
A simulation of the playing card game coup
deq
[NeurIPS'19] Deep Equilibrium Models
edm
Elucidating the Design Space of Diffusion-Based Generative Models (EDM)
expm
Differentiable and numerically stable implementation of expm
HyperbolicTiling_Learning
Official implementation (learning part) for paper: Numerically Accurate Hyperbolic Embeddings Using Tiling-Based Models
imagenet-simple-labels
Simpler human-readable labels for ImageNet 🏷
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
sgd_tail_index
The codebase for the paper "A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks"
tensorforce
TensorForce: A TensorFlow library for applied reinforcement learning
TopologyLayer
A Topology Layer for Machine Learning : Persistent Homology + Features for PyTorch
torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
website_old
My personal website