venkatesh-thiru

venkatesh-thiru's Stars

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python85.4k1.7k47.9k23k

• ultralytics/ultralytics

  Ultralytics YOLO11 🚀

  Language:Python34.8k1879.9k6.7k

• facebookresearch/detectron2

  Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

  Language:Python30.9k3913.5k7.5k

• OpenDriveLab/UniAD

  [CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving

  Language:Python3.7k38191417

• Axarva/dotfiles-2.0

  XMonad™️. Widgets go brr.

  Language:Shell1.8k17160155

• google/uncertainty-baselines

  High-quality implementations of standard and SOTA methods on a variety of tasks.

  Language:Python1.5k2289205

• kumar-shridhar/PyTorch-BayesianCNN

  Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

  Language:Python1.5k3164325

• kentaroy47/vision-transformers-cifar10

  Let's train vision transformers (ViT) for cifar 10!

  Language:Python566723113

• aleximmer/Laplace

  Laplace approximations for Deep Learning.

  Language:Python4801015775

• dougbrion/pytorch-classification-uncertainty

  This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

  Language:Python4469961

• EFS-OpenSource/calibration-framework

  The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a neural network.

  Language:Python35275044

• kkirchheim/pytorch-ood

  👽 Out-of-Distribution Detection with PyTorch

  Language:Python26643525

• cpark321/uncertainty-deep-learning

  Language:Jupyter Notebook2278156

• facebookresearch/Motionformer

  Code + pre-trained models for the paper Keeping Your Eye on the Ball Trajectory Attention in Video Transformers

  Language:Python227111330

• jonatasgrosman/findpapers

  Findpapers: A tool for helping researchers who are looking for related works

  Language:Python2273733

• VSainteuf/pastis-benchmark

  Language:Jupyter Notebook20662239

• luissen/ESRT

  Language:Python16621943

• lightning-uq-box/lightning-uq-box

  Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning

  Language:Python14862115

• hollance/reliability-diagrams

  Reliability diagrams visualize whether a classifier model needs calibration

  Language:Jupyter Notebook1425118

• senbox-org/sen2like

  The main goal of Sen2Like is to generate Sentinel-2 like harmonised/fused surface reflectances with higher periodicity by integrating additional compatible optical mission sensors.

  Language:Python859814

• yuta-hi/bayesian_unet

  Chainer implementation of Bayesian Convolutional Neural Networks (BCNNs)

  Language:Python494213

• louisfghbvc/Efficient-Transformer-for-Single-Image-Super-Resolution

  Efficient Transformer for Single Image Super-Resolution

  Language:Python32546

• Kappibw/JWST

  Laypersons tutorials for the James Webb Space Telescope

  Language:Jupyter Notebook30215

• zhysora/PGMAN

  code for "PGMAN: An Unsupervised Generative Multi-adversarial Network for Pan-sharpening"

  Language:Python193157

• maohaos2/PosthocUQ

  Language:Python14103

• lisa-wm/entropybaseduq

  Language:Python10201

• Dariusrussellkish/evidential-deep-learning

  Learn fast, scalable, and calibrated measures of uncertainty using neural networks!

  Language:Python9003

• cognizant-ai-labs/red-paper

  Source codes for reproducing the experimental results in RED paper (published in AAAI2022)

  Language:Python5411

• eliafranc/pytracking

  Visual tracking library based on PyTorch.

  Language:Python3000

• cybersaki/go-test

  go-test

  110