fmu2

PyTorch-MAML

A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.

3d_photo_stylization

3D Photo Stylization

realNVP

PyTorch implementation of realNVP

gradfeat20

Gradients as Features for Deep Representation Learning

Wasserstein-BiGAN

Wasserstein BiGAN (Bidirectional GAN trained using Wasserstein distance)

flow-VAE

Variational Autoencoder (VAE) with Normalizing Flows

NICE

PyTorch implementation of NICE

snag_release

Official Implementation of SnAG (CVPR 2024)

nlos3d

few-shot-meta-baseline

A New Meta-Baseline for Few-Shot Learning

pytorch-pose

A PyTorch toolkit for 2D Human Pose Estimation.

attention_flow

CLIP

Contrastive Language-Image Pretraining

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

FeatureLearningRotNet

fmu2.github.io

GFPGAN

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

glow

Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

magic_init

models

Models and examples built with TensorFlow

monodepth

Unsupervised single image depth prediction with CNNs

personal

personal webpage

SGG_from_NLS

Code repository for our paper "Learning to Generate Scene Graph from Natural Language Supervision" in ICCV 2021.

simple_shot

VideoX

VideoX: a collection of video cross-modal models

voc-classification

Train and evaluate VOC 2007 / 2012 image classification models. We used this code to evaluate several feature learning algorithms.