fzehracetin

fzehracetin's Stars

• huggingface/transformers

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

  Language:Python138k1.1k16.5k27.6k

• 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 Notebook48.5k3136835.7k

• facebookresearch/detectron2

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

  Language:Python31k3903.5k7.6k

• facebookresearch/sam2

  The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook13.6k794271.3k

• salesforce/LAVIS

  LAVIS - A One-stop Library for Language-Vision Intelligence

  Language:Jupyter Notebook10.2k97679989

• NielsRogge/Transformers-Tutorials

  This repository contains demos I made with the Transformers library by HuggingFace.

  Language:Jupyter Notebook9.8k1434561.5k

• huggingface/tokenizers

  💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

  Language:Rust9.3k1221k823

• jessevig/bertviz

  BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

  Language:Python7.1k74123790

• tensorflow/serving

  A flexible, high-performance serving system for machine learning models

  Language:C++6.2k2331.5k2.2k

• keras-team/keras-io

  Keras documentation, hosted live at keras.io

  Language:Jupyter Notebook2.8k616312.1k

• chiphuyen/dmls-book

  Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)

  2.5k457360

• UX-Decoder/Semantic-SAM

  [ECCV 2024] Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"

  Language:Python2.4k2397122

• isanchop/stuhack

  Chrome extension for studocu premium free

  Language:JavaScript1.4k2686184

• ahmetaa/zemberek-nlp

  NLP tools for Turkish.

  Language:Java1.2k109231210

• stefan-it/turkish-bert

  Turkish BERT/DistilBERT, ELECTRA and ConvBERT models

  Language:Python513383442

• barissayil/SentimentAnalysis

  Sentiment analysis neural network trained by fine-tuning BERT, ALBERT, or DistilBERT on the Stanford Sentiment Treebank.

  Language:Python36813946

• shmsw25/FActScore

  A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation"

  Language:Python31243648

• dbmdz/berts

  DBMDZ BERT, DistilBERT, ELECTRA, GPT-2 and ConvBERT models

  155155112

• loodos/zemberek-python

  Python implementation of Zemberek

  Language:Python11521114

• okanvk/Turkish-Reading-Comprehension-Question-Answering-Dataset

  Turkish-Reading-Comprehension-Question-Answering-Dataset

  Language:Jupyter Notebook815011

• hellohaptik/spello

  Fast and accurate spell correction library

  Language:Python78131921

• loodos/turkish-language-models

  Transformer based Turkish language models

  Language:Python761114

• rehaanahmad2013/NielsenChuang-QuantumComputingSolutions

  Solutions to most Chapter 3 and 4 Exercises in Nielsen And Chuang

  61014

• StarlangSoftware/TurkishWordNet

  Turkish WordNet KeNet

  Language:Java5610417

• ekartal/turkce-kelime-database

  Turkce Kelime Database

  454013

• ludwigschubert/master-application-tum

  Essay for my application to TUM's Master Program

  302010

• mariaref/NonLinearShallowAE

  Language:Python8200

• dametreusv/world_development_indicators

  Predicting income groups using world development indicators from the World Bank. This allows us to assess infrastructure needs, social advancements, strength in economy and more.

  Language:Jupyter Notebook6102

• FroeMic/TUM-IN-Protein-Prediction-1

  A summary of the lecture and possible exam questions for Protein Predictions course at TUM.

  610291

• berksudan/YTU-Bologna-English-Curriculum-Scraper

  Scrape English course descriptions from YTU Bologna page via this small program

  Language:Python2101