prithv1 Goto Github PK

aad_sfda

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

adacontrast

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

al-folio

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

allenact

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

annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

awesome-torch

A curated list of awesome Torch tutorials, projects and communities

bottom-up-attention-vqa

An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.

caffe

Caffe: a fast open framework for deep learning.

caffe-with-spearmint

Automatic Caffe parameter search via Spearmint Bayesian optimisation

clip-fields

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

coding-interview-university

A complete computer science study plan to become a software engineer.

condnet

Implementation of condnets

continuous-sparsification

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

convnets-keras

cvpr2017_counting

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

dac

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

deedy-resume

A one page , two asymmetric column resume template in XeTeX that caters to an undergraduate Computer Science student

deep-reinforcement-learning-papers

A list of recent papers regarding deep reinforcement learning

demos

Demos and tutorials around Torch7.

diffusers

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

disentangling-vae

Experiments for understanding disentanglement in VAE latent representations

dl-setup

Instructions for setting up the software on your deep learning machine

dmg

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

enn

examplepackage.torch

A hello-world for torch packages

fast-rcnn

Fast R-CNN

fast-rcnn-evaluation

fast_adversarial

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

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

gtcse6643sp22mybinder

mybinder for lectures