Trung Trinh's starred repositories

mup

maximal update parametrization (µP)

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swag-lora

Code for the paper "Gaussian Stochastic Weight Averaging for Bayesian Low-Rank Adaptation of Large Language Models".

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awesome-ai-residency

List of AI Residency Programs

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awesome-imbalanced-learning

😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切:论文、代码、框架与库

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llama3

The official Meta Llama 3 GitHub site

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awesome-ai-research-intern-list

List of AI Internships

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imax

Image augmentation library for Jax

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academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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FoRDE

Repository for the paper Input-gradient space particle inference for neural network ensembles (ICLR 2024)

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al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

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arasgungore-CV

My curriculum vitae (CV) written using LaTeX.

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imagecorruptions

Python package to corrupt arbitrary images.

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big_vision

Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.

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cuTAGI

CUDA implementation of Tractable Approximate Gaussian Inference

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vision-transformer-tf

Reproduction of Vision Transformer in Tensorflow2. Train from scratch and Finetune.

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ConvNeXt

Code release for ConvNeXt model

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ImageNetV2

A new test set for ImageNet

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foolbox

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

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spectral-density

Hessian spectral density estimation in TF and Jax

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GSM-VI

Code for Gaussian Score Matching Variational Inference

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Advances-in-Label-Noise-Learning

A curated (most recent) list of resources for Learning with Noisy Labels

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flash-attention

Fast and memory-efficient exact attention

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cinic-10

A drop-in replacement for CIFAR-10.

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bnn_covariate_shift

Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"

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node-BNN-covariate-shift

Repository for the paper Tackling covariate shift with node-based Bayesian neural networks (ICML 2022)

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power_spherical

Pytorch implementation of the Power Spherical distribution

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RWKV-LM

RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

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anthology-of-modern-ml

Collection of important articles to be treated as a textbook

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augmentation-corruption

This repository provides code for "On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness".

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