dataflowr's repositories
Project-age-estimation-pytorch
PyTorch-based CNN implementation for estimating age from face images
Project-hlb-CIFAR10
Train to 94% on CIFAR-10 in less than 10 seconds on a single A100, the current world record. Or ~95.77% in ~188 seconds.
Project-moco
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
Project-VQ-VAE-Images
PyTorch implementation of VQ-VAE applied on CIFAR10 dataset
Project-BitFit
Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models
Project-deit
Official DeiT repository
Project-diwa
DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization
Project-rethinking-network-pruning
Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)
Project-vit-explain
Explainability for Vision Transformers
Project-Crowd-Counting-C-3-Framework
An open-source PyTorch code for crowd counting
Project-evaluating-bayesian-deep-learning
Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.
Project-FixMatch
Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
Project-graphtransformer
Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
Project-LOST
Pytorch implementation of LOST unsupervised object discovery method
Project-nerf-pytorch
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
Project-Neural-Bootstrapper
Neural Bootstrapper (NeuBoots)
Project-normalizing-flows
PyTorch implementation of normalizing flow models
Project-PODA
Official implementation of "PODA: Prompt-driven Zero-shot Domain adaptation"
Project-pytorch-ddpm
Unofficial PyTorch implementation of Denoising Diffusion Probabilistic Models
Project-side-tuning
sidetuning.berkeley.edu
Project-tiny-diffusion
A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.
Projetc-deep_gcns_torch
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org