Hisarlik's Stars
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
run-llama/llama_index
LlamaIndex is a data framework for your LLM applications
fastai/fastai
The fastai deep learning library
fastai/fastbook
The fastai book, published as Jupyter Notebooks
karpathy/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
UKPLab/sentence-transformers
State-of-the-Art Text Embeddings
abhishekkrthakur/approachingalmost
Approaching (Almost) Any Machine Learning Problem
nlp-with-transformers/notebooks
Jupyter notebooks for the Natural Language Processing with Transformers book
fastai/course-nlp
A Code-First Introduction to NLP course
fluentpython/example-code-2e
Example code for Fluent Python, 2nd edition (O'Reilly 2022)
McGill-NLP/llm2vec
Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'
ContextualAI/gritlm
Generative Representational Instruction Tuning
dccuchile/beto
BETO - Spanish version of the BERT model
mattharrison/effective_pandas_book
Errata and code for Effective Pandas book
IBM/zshot
Zero and Few shot named entity & relationships recognition
Lightning-AI/tutorials
Collection of Pytorch lightning tutorial form as rich scripts automatically transformed to ipython notebooks.
feralvam/easse
Easier Automatic Sentence Simplification Evaluation
cocoxu/simplification
Text Simplification System and Dataset
mathislucka/kaggle_clrp_1st_place_solution
This repository contains code that was used to generate the first place solution in the CommonLit Readability Prize
LightTag/sequence-labeling-with-transformers
Examples for aligning, padding and batching sequence labeling data (NER) for use with pre-trained transformer models
wjbmattingly/ner_youtube
KimChengSHEANG/TS_T5
Controllable Sentence Simplification with T5
Garima13a/Attention-Mechanism-Basics
oskrmiguel/EditSynt
This is the official repository of the Paper A Syntax-Aware Edit-based System for Text Simplification presented at the RANPL 2021 conference. Please cite this paper if you use our code or system output.
faheem77/User-Management-System-in-Flask