prithv1

robustnav

Evaluating pre-trained navigation agents under corruptions

GuessWhich

Evaluating Visual Conversational Agents via Cooperative Human-AI Games

cvpr2017_counting

Code for Counting Everyday Objects in Everyday Scenes (CVPR 2017)

DMG

Code for our ECCV paper -- "Learning to Balance Specificity and Invariance for In and Out of Domain Generalization"

HPOptim

Use Spearmint via Torch.

mmsegmentation-dg-for-da

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

PASTA

Proportional Amplitude Spectrum Training Augmentation for Synthetic to Real Domain Generalization

prithv1.github.io

Academic Webpage. Template borrowed from http://jonbarron.info and https://abhoi.github.io/

probtorch

Probabilistic Torch is library for deep generative models that extends PyTorch

prithv1/DMG

Code for our ECCV paper -- "Learning to Balance Specificity and Invariance for In and Out of Domain Generalization"

prithv1/PASTA

Proportional Amplitude Spectrum Training Augmentation for Synthetic to Real Domain Generalization

prithv1/mmsegmentation-dg-for-da

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

prithv1/prithv1.github.io

Academic Webpage. Template borrowed from http://jonbarron.info and https://abhoi.github.io/

prithv1/al-folio

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

prithv1/AaD_SFDA

Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'

prithv1/AdaContrast

Official repository of CVPR '22 paper "Contrastive Test-Time Adaptation"

prithv1/allenact

An open source framework for research in Embodied-AI from AI2.

prithv1/clip-fields

Teaching robots to respond to open-vocab queries with CLIP and NeRF-like neural fields

prithv1/continuous-sparsification

Implementation of Continuous Sparsification, a method for pruning and ticket search in deep networks

prithv1/DaC

Code for Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning (NeurIPS 2022).

prithv1/diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

prithv1/disentangling-vae

Experiments for understanding disentanglement in VAE latent representations

prithv1/enn

prithv1/fast_adversarial

[ICLR 2020] A repository for extremely fast adversarial training using FGSM

prithv1/gtcse6643sp22mybinder

mybinder for lectures

prithv1/jacobian_regularizer

A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.

prithv1/L2C

Learning to Cluster. A deep clustering strategy.

prithv1/large-scale-curiosity

Code for the paper "Large-Scale Study of Curiosity-Driven Learning"

prithv1/mask-rcnn.pytorch

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

prithv1/mmdetection

OpenMMLab Detection Toolbox and Benchmark

prithv1/noreward-rl

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

prithv1/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

prithv1/rad

RAD: Reinforcement Learning with Augmented Data

prithv1/robustnav

Evaluating pre-trained navigation agents under corruptions

prithv1/SHOT

code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"

prithv1/SHOT-plus-dg-for-da

code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"

prithv1/simkinect

Simulating Kinect Noise: adding noise to clean depth-maps rendered with a graphics engine.

prithv1/UBNA

prithv1/WildNet

Official PyTorch Implementation of WildNet: Learning Domain Generalized Semantic Segmentation from the Wild, CVPR 2022