tpopordanoska

tpopordanoska's Stars

• google/gemma_pytorch

  The official PyTorch implementation of Google's Gemma models

  Language:Python5.3k508

• Computer-Vision-in-the-Wild/CVinW_Readings

  A collection of papers on the topic of ``Computer Vision in the Wild (CVinW)''

  1.2k58

• zifuwanggg/JDTLosses

  Optimization with JDTLoss and Evaluation with Fine-grained mIoUs for Semantic Segmentation

  Language:Python452

• kundajelab/abstention

  Algorithms for abstention, calibration and domain adaptation to label shift.

  Language:Python364

• MLO-lab/Uncertainty_Estimates_via_BVD

  The official source code to: Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition (AISTATS'23)

  Language:Jupyter Notebook10

• markus93/NN_calibration

  Calibration of Convolutional Neural Networks

  Language:Jupyter Notebook15641

• typst/typst

  A new markup-based typesetting system that is powerful and easy to learn.

  Language:Rust34.7k927

• karpathy/nanoGPT

  The simplest, fastest repository for training/finetuning medium-sized GPTs.

  Language:Python37.1k5.9k

• facebookresearch/detectron2

  Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

  Language:Python30.4k7.5k

• ivonajdenkoska/variational-xray-report-gen

  Official code repository for "Variational Topic Inference for Chest X-Ray Report Generation" (Oral at MICCAI 2021).

  Language:Python194

• black0017/MedicalZooPytorch

  A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

  Language:Python1.7k299

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python134k26.9k

• BoltzmannEntropy/interviews.ai

  It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

  4.5k297

• JeroenBertels/optimizingdice

  This repository open sources some of the code and trained models belonging to the public datasets used in the corresponding articles.

  Language:Python6

• gorjanradevski/sr-bert

  Codebase for "Decoding language spatial relations to 2D spatial arrangements" (Findings of EMNLP 2020).

  Language:Python102

• gorjanradevski/revisiting-spatial-temporal-layouts

  Codebase for "Revisiting spatio-temporal layouts for compositional action recognition" (Oral at BMVC 2021).

  Language:Python261

• bermanmaxim/LovaszSoftmax

  Code for the Lovász-Softmax loss (CVPR 2018)

  Language:Jupyter Notebook1.4k269

• p-lambda/verified_calibration

  Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlight).

  Language:Python14220

• probml/pyprobml

  Python code for "Probabilistic Machine learning" book by Kevin Murphy

  Language:Jupyter Notebook6.5k1.5k

• torrvision/focal_calibration

  Code for the paper "Calibrating Deep Neural Networks using Focal Loss"

  Language:Jupyter Notebook15326

• aleju/papers

  Summaries of machine learning papers

  2.5k443

• scikit-learn-contrib/MAPIE

  A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.

  Language:Jupyter Notebook1.3k110

• gpleiss/temperature_scaling

  A simple way to calibrate your neural network.

  Language:Python1.1k159