Surya's repositories
application
Demo Application
Website
DeepNet webpage
the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
realtime-semantic-segmentation-pytorch
PyTorch implementation of over 30 realtime semantic segmentations models, e.g. BiSeNetv1, BiSeNetv2, CGNet, ContextNet, DABNet, DDRNet, EDANet, ENet, ERFNet, ESPNet, ESPNetv2, FastSCNN, ICNet, LEDNet, LinkNet, PP-LiteSeg, SegNet, ShelfNet, STDC, SwiftNet, and support knowledge distillation, distributed training etc.
PaddleSeg
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
hts_time-series
Aggregation through trace minimization
tensorflow-deep-learning
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
DSP505
DSP505 Major Project
pytorchvideo
A deep learning library for video understanding research.
SafeZone-Real-time-Video-Analytics-for-Industrial-Safety
SafeZone: Real-time Video Analytics for Industrial Safety
CS550
Machine Learning Course at IIT Bhilai
Semantic-Guided-Low-Light-Image-Enhancement
This is the official Pytorch implementation for our paper "Semantic-Guided Zero-Shot Learning for Low-Light Image/Video Enhancement."
NAB
The Numenta Anomaly Benchmark
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
SKAB
SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Hydraulic-EoL-Testing
Multivariate Time Series Data usable for Time Series Segmentation and Time Series Classification. Each sample represents the multi-phased End-of-Line-Testing Cycle of one hydraulic pump (9 sensors). For confidentality reasons, the data were normalized and the sensor names anonymized.
BiSeNet-V2
Add bisenetv2. My implementation of BiSeNet
End-to-End-Time-Series-Demo
This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJd6GrQvhAtpBK
CNC_Machining
data set for process monitoring on CNC machines
CS50P
My Solutions to the Harvard CS50P Problem Sets
LatentOE-AD
Coder of the paper 'Latent Outlier Exposure for Anomaly Detectin with Contaminated Data' published in ICML 2022
bisenetv2-tensorflow
Unofficial tensorflow implementation of real-time scene image segmentation model "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation"
NeuTraL-AD
Code of the paper 'Neural Transformation Learning for Anomaly Detection' published in ICML 2021
industrial-ml-datasets
A curated list of datasets, publically available for machine learning research in the area of manufacturing
local_neural_transformations
Companion code for the self-supervised anomaly detection algorithm proposed in the paper "Detecting Anomalies within Time Series using Local Neural Transformations" by Tim Schneider et al.