pentanol2's Stars
AykutSarac/jsoncrack.com
✨ Innovative and open-source visualization application that transforms various data formats, such as JSON, YAML, XML, CSV and more, into interactive graphs.
spacedriveapp/spacedrive
Spacedrive is an open source cross-platform file explorer, powered by a virtual distributed filesystem written in Rust.
tqdm/tqdm
:zap: A Fast, Extensible Progress Bar for Python and CLI
lutzroeder/netron
Visualizer for neural network, deep learning and machine learning models
yzhao062/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
modelscope/modelscope
ModelScope: bring the notion of Model-as-a-Service to life.
dpkp/kafka-python
Python client for Apache Kafka
superduper-io/superduper
Superduper: Build end-to-end AI applications and agent workflows on your existing data infrastructure and preferred tools - without migrating your data.
STVIR/pysot
SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
JunMa11/SegLossOdyssey
A collection of loss functions for medical image segmentation
clovaai/deep-text-recognition-benchmark
Text recognition (optical character recognition) with deep learning methods, ICCV 2019
rob-med/awesome-TS-anomaly-detection
List of tools & datasets for anomaly detection on time-series data.
hsd1503/resnet1d
PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.
aporia-ai/mlplatform-workshop
🍫 Example code for a basic ML Platform based on Pulumi, FastAPI, DVC, MLFlow and more
antonior92/automatic-ecg-diagnosis
Scripts and modules for training and testing neural network for ECG automatic classification. Companion code to the paper "Automatic diagnosis of the 12-lead ECG using a deep neural network".
berndporr/py-ecg-detectors
Popular ECG QRS detectors written in python
abelriboulot/onnxt5
Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.
lxdv/ecg-classification
ECG Arrhythmia classification using CNN
hsd1503/DL-ECG-Review
A Review of Deep Learning Methods on ECG Data
Galileo-Galilei/kedro-mlflow
A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)
MousaviSajad/ECG-Heartbeat-Classification-seq2seq-model
Inter- and intra- patient ECG heartbeat classification for arrhythmia detection: a sequence to sequence deep learning approach
ahammadmejbah/Machine-Learning-Book-Collections
Machine learning is the study and development of data-driven strategies to enhance task performance. AI includes it.
wbarnha/kafka-python-ng
Fork for Python client for Apache Kafka
LemuelPuglisi/BrLP
[MICCAI'2024, Oral] Official implementation of BrLP method from "Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge"
BloodAxe/xView2-Solution
trifacta/triflow
advra/grpc-vcpkg-boilerplate-example
This is a simple helloworld example that shows how to setup, configure and compile using vcpkg manager.
knime/knime-ui-table
triton-inference-server/repeat_backend
An example Triton backend that demonstrates sending zero, one, or multiple responses for each request.
lazyTimes/book-1