Rohit Gajawada's starred repositories
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
flashlight
A C++ standalone library for machine learning
pytorch-template
PyTorch deep learning projects made easy.
SuperGluePretrainedNetwork
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
siamese-triplet
Siamese and triplet networks with online pair/triplet mining in PyTorch
mlops-course
Learn how to design, develop, deploy and iterate on production-grade ML applications.
ml-surveys
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
Multitarget-tracker
Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.
pytorch-retinanet
Pytorch implementation of RetinaNet object detection.
Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
graphsage-simple
Simple reference implementation of GraphSAGE.
pytorch-custom-dataset-examples
Some custom dataset examples for PyTorch
Domain-generalization
All about domain generalization
tracking_wo_bnw
Implementation of "Tracking without bells and whistles” and the multi-object tracking "Tracktor"
powerful-benchmarker
A library for ML benchmarking. It's powerful.
PyTorch-Image-Retrieval
A PyTorch framework for an image retrieval task including implementation of N-pair Loss (NIPS 2016) and Angular Loss (ICCV 2017).
few-shot-object-detection-papers
📄 A paper list of Few-shot Object Detection.
nixos-tutorial
one hour, hands-on
torch_sampling
Efficient reservoir sampling implementation for PyTorch