pentanol2's Stars
aporia-ai/mlplatform-workshop
🍫 Example code for a basic ML Platform based on Pulumi, FastAPI, DVC, MLFlow and more
lutzroeder/netron
Visualizer for neural network, deep learning and machine learning models
clovaai/deep-text-recognition-benchmark
Text recognition (optical character recognition) with deep learning methods, ICCV 2019
berndporr/py-ecg-detectors
Popular ECG QRS detectors written in python
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".
hsd1503/resnet1d
PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.
spacedriveapp/spacedrive
Spacedrive is an open source cross-platform file explorer, powered by a virtual distributed filesystem written in Rust.
triton-inference-server/repeat_backend
An example Triton backend that demonstrates sending zero, one, or multiple responses for each request.
hsd1503/DL-ECG-Review
A Review of Deep Learning Methods on ECG Data
tqdm/tqdm
:zap: A Fast, Extensible Progress Bar for Python and CLI
ucbdrive/3d-vehicle-tracking
Official implementation of Joint Monocular 3D Vehicle Detection and Tracking (ICCV 2019)
tim-learn/SHOT
code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"
HowieMa/DeepSORT_YOLOv5_Pytorch
DeepSORT + YOLOv5
triton-inference-server/server
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
tensorflow/model-card-toolkit
A toolkit that streamlines and automates the generation of model cards
openshift/source-to-image
A tool for building artifacts from source and injecting into container images
microsoft/vcpkg
C++ Library Manager for Windows, Linux, and MacOS
AILab-CVC/VideoCrafter
VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models
NVIDIA/DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
udacity/self-driving-car
The Udacity open source self-driving car project
milesial/Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
rajatkeshri/Flood-prediction
Prediction of whether a flood may occur or not, depending rainfall data, using machine learning algorithms
zhaozunjin/RetinexDIP
The pytorch implementation of RetinexDIP, a unified zero-reference deep framework for low-light enhancement.
akanametov/pathgan
A Pytorch implementation of Generative Adversarial Network for Heuristics of Sampling-based Path Planning
sb2nov/resume
Software developer resume in Latex
roboflow/notebooks
This repository offers a comprehensive collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like YOLO11, RT-DETR, SAM 2, Florence-2, PaliGemma 2, and Qwen2.5VL.
xialeiliu/RankIQA
The rep for the RankIQA paper in ICCV 2017
facebookresearch/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.
google-ai-edge/mediapipe
Cross-platform, customizable ML solutions for live and streaming media.
facebookresearch/Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.