OlgaChaganova's Stars
chogovadze/Deep-Illuminator
Deep Illuminator is a data augmentation tool designed for image relighting. It can be used to easily and efficiently generate a wide range of illumination variants of a single image.
facebookresearch/Detic
Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".
sithu31296/PyTorch-ONNX-TFLite
Conversion of PyTorch Models into TFLite
keonlee9420/Soft-DTW-Loss
PyTorch implementation of Soft-DTW: a Differentiable Loss Function for Time-Series in CUDA
ubicomplab/rPPG-Toolbox
rPPG-Toolbox: Deep Remote PPG Toolbox (NeurIPS 2023)
paulvangentcom/heartrate_analysis_python
Python Heart Rate Analysis Package, for both PPG and ECG signals
insight-platform/Savant
Python Computer Vision & Video Analytics Framework With Batteries Included
pyutils/line_profiler
Line-by-line profiling for Python
NVIDIA-AI-IOT/deepstream_python_apps
DeepStream SDK Python bindings and sample applications
spmallick/learnopencv
Learn OpenCV : C++ and Python Examples
ultralytics/ultralytics
Ultralytics YOLO11 🚀
scikit-image/scikit-image
Image processing in Python
StarkitRobots/cvr_course
Repository for Computer Vision in Robotics course. https://www.starkitrobots.com/cvr
shimataro/ssh-key-action
GitHub Action that installs SSH key to .ssh
zellwk/zellwk.com
Github repo for https://zellwk.com
webfactory/ssh-agent
GitHub Action to setup `ssh-agent` with a private key
evidentlyai/evidently
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
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.
recommenders-team/recommenders
Best Practices on Recommendation Systems
cszn/USRNet
Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)
ysnan/NBD_KerUnc
Project page of the paper 'Deep Learning for Handling Kernel/model Uncertainty in Image Deconvolution' (CVPR 2020)
royalosyin/Practice-SQL-with-SQLite-and-Jupyter-Notebook
Practice basic SQL syntax with Jupyter notebook. SQL is particularly useful in handling structured data where there are relations between different entities/variables of the data. SQL is a very important tool for data scientists to have in their repertoire.
voxel51/fiftyone
Refine high-quality datasets and visual AI models
esokolov/ml-course-hse
Машинное обучение на ФКН ВШЭ
AlexCovizzi/vscode-sqlite
VSCode extension to explore and query SQLite databases.
nalgeon/sqlean
The ultimate set of SQLite extensions
osmr/imgclsmob
Sandbox for training deep learning networks
42juododranoel/doebus
A list of Developer Experience best practices
dongjxjx/dwdn
Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration