mlkonopelski

mlkonopelski's Stars

• facebookresearch/faiss

  A library for efficient similarity search and clustering of dense vectors.

  Language:C++30.5k4802.5k3.6k

• UX-Decoder/Segment-Everything-Everywhere-All-At-Once

  [NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"

  Language:Python4.3k59146382

• prometheus/client_python

  Prometheus instrumentation library for Python applications

  Language:Python3.9k71541794

• AlexanderKoch-Koch/low_cost_robot

  Language:Python3k5126246

• mailgun/talon

  Language:Python1.3k91115285

• sicara/easy-few-shot-learning

  Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

  Language:Python1k17109140

• hank-ai/darknet

  Darknet/YOLO object detection framework

  Language:C++248115136

• spfrommer/torchexplorer

  Interactively inspect module inputs, outputs, parameters, and gradients.

  Language:Python23565514

• Kludex/fastapi-prometheus-grafana

  FasAPI + Prometheus + Grafana! :tada:

  Language:Python1676447

• 1297rohit/RCNN

  Step-By-Step Implementation of R-CNN from scratch in python

  Language:Jupyter Notebook1021872

• ipipan/spacy-pl

  Language:Python499127

• sheerun/awesome-polish-nlp

  Resources for doing NLP in Polish

  44514

• christophmark/fforma

  Python package for Feature-based Forecast Model Averaging (FFORMA).

  Language:Jupyter Notebook262014

• florist-notes/CNN-GoogLeNet

  👁 Vision : Model 4: GoogLeNet : Image Classification

  19506

• bedead/lung-cancer-classification-yoloV8---gradio

  The model is based on a YOLOv8 (Deep learning Neural network architecture) and is trained on the publicly available dataset, which consists of lung CT scans of patients with and without lung cancer.

  Language:Jupyter Notebook3100