felixkln

felixkln's Stars

• 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.

  Language:Jupyter Notebook48.1k3116785.7k

• facebookresearch/faiss

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

  Language:C++31.9k4802.5k3.7k

• roboflow/supervision

  We write your reusable computer vision tools. 💜

  Language:Python24.5k1604501.8k

• PaddlePaddle/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.

  Language:Python8.8k932.1k1.7k

• roboflow/notebooks

  Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

  Language:Jupyter Notebook5.7k80144897

• charlesq34/pointnet

  PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

  Language:Python4.9k1363051.5k

• cjlin1/libsvm

  LIBSVM -- A Library for Support Vector Machines

  Language:Java4.6k2951561.6k

• karpathy/ng-video-lecture

  Language:Python3.6k5730954

• megvii-research/NAFNet

  The state-of-the-art image restoration model without nonlinear activation functions.

  Language:Python2.3k21147288

• autodistill/autodistill

  Images to inference with no labeling (use foundation models to train supervised models).

  Language:Python2k21103161

• roboflow/awesome-openai-vision-api-experiments

  Must-have resource for anyone who wants to experiment with and build on the OpenAI vision API 🔥

  Language:Python1.7k265133

• epfml/ML_course

  EPFL Machine Learning Course, Fall 2024

  Language:Jupyter Notebook1.3k9321912

• ChawlaAvi/Daily-Dose-of-Data-Science

  A collection of code snippets from the publication Daily Dose of Data Science on Substack: http://www.dailydoseofds.com/

  Language:Jupyter Notebook808571196

• vicoslab/mixed-segdec-net-comind2021

  Official PyTorch implementation for "Mixed supervision for surface-defect detection: from weakly to fully supervised learning"

  Language:Python29663889

• tSchlegl/f-AnoGAN

  Code for reproducing f-AnoGAN training and anomaly scoring

  Language:Python249141764

• albumentations-team/autoalbument

  AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/

  Language:Python20374220

• A03ki/f-AnoGAN

  Implementation of f-AnoGAN with PyTorch

  Language:Python13631237

• sweng-epfl/public

  Software Engineering course materials from EPFL

  Language:Java99150176

• maticvl/dataHacker

  code for dataHacker blog

  Language:Jupyter Notebook422037

• jwyang/stnm.pytorch

  Pytorch code for spatial transformer network with mask

  Language:Jupyter Notebook31339

• nikhilroxtomar/RGB-Mask-to-Single-Channel-Mask-for-Multiclass-Segmentation

  This repo contains the code for converting an RGB mask into a onehot encoded mask or a single channel grayscale mask, which can be easily used for multiclass segmentation.

  Language:Python11111

• kevinhelvig/FLYD

  Provides access to the FLYing-spot thermography dataset and its instances.

  Language:Python4101