Kirscher

Kirscher's Stars

• sherlock-project/sherlock

  Hunt down social media accounts by username across social networks

  Language:Python58.1k1.1k9716.7k

• 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 Notebook46.7k3066595.5k

• photoprism/photoprism

  AI-Powered Photos App for the Decentralized Web 🌈💎✨

  Language:Go34.6k3362.2k1.9k

• karpathy/llm.c

  LLM training in simple, raw C/CUDA

  Language:Cuda23.3k2291322.6k

• albumentations-team/albumentations

  Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

  Language:Python14k1299891.6k

• qeeqbox/social-analyzer

  API, CLI, and Web App for analyzing and finding a person's profile in 1000 social media \ websites

  Language:JavaScript11.4k35870904

• bmild/nerf

  Code release for NeRF (Neural Radiance Fields)

  Language:Jupyter Notebook9.8k1421931.4k

• facebookresearch/co-tracker

  CoTracker is a model for tracking any point (pixel) on a video.

  Language:Jupyter Notebook2.7k2481187

• m2dsupsdlclass/lectures-labs

  Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris

  Language:Jupyter Notebook1.4k795660

• zetane/viewer

  ML models and internal tensors 3D visualizer

  Language:Python1.1k1623122

• JEddy92/TimeSeries_Seq2Seq

  This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.

  Language:Jupyter Notebook6042212239

• ott-jax/ott

  Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.

  Language:Python4981018680

• nchopin/particles

  Sequential Monte Carlo in python

  Language:Python395166074

• ekzhang/fastseg

  📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance

  Language:Python336171134

• MaybeShewill-CV/segment-anything-u-specify

  using clip and sam to segment any instance you specify with text prompt of any instance names

  Language:Python16721210

• linogaliana/python-datascientist

  Dépôt associé au cours Python pour data scientists (ENSAE 2e année)

  Language:Python101211246

• POSTECH-IMLAB/LaneSegmentationNetwork

  The deep semantic segmentation network for lane segmentation.

  Language:Python95251151

• decadenza/SimpleStereo

  Stereo vision made Simple

  Language:Python4941815

• deepcharles/tutorials-mva-2023-2024

  Tutorials for the Machine Learning for Time Series class - Master MVA (2022/2023)

  Language:Jupyter Notebook184020

• cvlab-epfl/iter_unc

  Official code for "Enabling Uncertainty Estimation in Iterative Neural Networks" (ICML 2024)

  Language:Jupyter Notebook14211

• Kirscher/ResultAthle

  Scraping, visualisation et analyse de résultats d'athlétisme depuis le site bases.athle de la FFA

  Language:Jupyter Notebook112352

• ensae-reproductibilite/website

  Language:Python7296

• oakfr/ensae-dl-course

  Tutorials for the ENSAE Deep Learning Course

  Language:Jupyter Notebook73

• Victorletzelter/VoronoiWTA

  Official code of the ICML24 paper: "Winner-takes-all learners are geometry-aware conditional density estimators"

  Language:Python6100