Taoli Cheng's starred repositories
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Awesome-Multimodal-Large-Language-Models
:sparkles::sparkles:Latest Advances on Multimodal Large Language Models
generative-ai
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
diffusion-models-class
Materials for the Hugging Face Diffusion Models Course
course-content
NMA Computational Neuroscience course
pytorch-GAT
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
uncertainty-baselines
High-quality implementations of standard and SOTA methods on a variety of tasks.
normalizing_flows
Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
survae_flows
Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
vae-lagging-encoder
PyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)
domain-adaptation-toolbox
Wrappers and implementations of several domain adaptation / transfer learning / semi-supervised learning algorithms
Mixup_for_UDA
Implementation of Adversarial Domain Adaptation with Domain Mixup (AAAI 2020 Oral).
adversarial-feature-augmentation
Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018