shashankmc

shashankmc's Stars

• nektos/act

  Run your GitHub Actions locally 🚀

  Language:Go51.4k1661.1k1.3k

• oobabooga/text-generation-webui

  A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.

  Language:Python37.6k3253.5k5k

• openai/evals

  Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

  Language:Python14.2k2642012.5k

• TeamPiped/Piped

  An alternative privacy-friendly YouTube frontend which is efficient by design.

  Language:Vue7.7k641.4k646

• minimaxir/textgenrnn

  Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

  Language:Python4.9k136229754

• bazelbuild/bazelisk

  A user-friendly launcher for Bazel.

  Language:Go1.9k36226298

• bazingagin/npc_gzip

  Code for Paper: “Low-Resource” Text Classification: A Parameter-Free Classification Method with Compressors

  Language:Python1.8k2521155

• teamclairvoyant/airflow-maintenance-dags

  A series of DAGs/Workflows to help maintain the operation of Airflow

  Language:Python1.6k8673382

• casper-hansen/AutoAWQ

  AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:

  Language:Python1.3k11309148

• argilla-io/distilabel

  ⚗️ distilabel is a framework for synthetic data and AI feedback for AI engineers that require high-quality outputs, full data ownership, and overall efficiency.

  Language:Python1k1228066

• Marker-Inc-Korea/AutoRAG

  RAG AutoML Tool - Find optimal RAG pipeline for your own data.

  Language:Python9291225077

• tecoholic/ner-annotator

  Named Entity Recognition (NER) Annotation tool for SpaCy. Generates Traning Data as a JSON which can be readily used.

  Language:Vue5211466157

• HumanSignal/label-studio-ml-backend

  Configs and boilerplates for Label Studio's Machine Learning backend

  Language:Python44714208208

• tomaarsen/SpanMarkerNER

  SpanMarker for Named Entity Recognition

  Language:Jupyter Notebook36493825

• inseq-team/inseq

  Interpretability for sequence generation models 🐛 🔍

  Language:Python323107936

• wietsedv/bertje

  BERTje is a Dutch pre-trained BERT model developed at the University of Groningen. (EMNLP Findings 2020) "What’s so special about BERT’s layers? A closer look at the NLP pipeline in monolingual and multilingual models"

  Language:Python131142910

• tsproisl/textcomplexity

  Linguistic and stylistic complexity measures for (literary) texts

  Language:Jupyter Notebook7511612

• GateNLP/python-gatenlp

  Python text processing, pattern matching, and NLP framework

  Language:Jupyter Notebook59171648

• JSv4/OpenContracts

  Free, Open Source collaborative text annotating platform based on React and Django

  Language:TypeScript462115

• joeddav/blog

  Language:Jupyter Notebook25343

• JSv4/GremlinServer

  A low-code microservices platform designed for legal engineers. Given a document, Gremlin will apply a series of Python scripts to it and return transformed documents and/or extracted data. Use with GremlinUI for an open source, modern, React-based low-code experience (https://github.com/JSv4/GremlinGUI)

  Language:Python19508

• MBAigner/PDFSegmenter

  This library builds a graph-representation of the content of PDFs. The graph is then clustered, resulting page segments are classified and returned. Tables are retrieved formatted as a CSV.

  Language:Python19103

• saran9991/llm-data-annotation

  Use Large Language Models like OpenAI's GPT-3.5 for data annotation and model enhancement. This framework combines human expertise with LLMs, employs Iterative Active Learning for continuous improvement, and integrates CleanLab (Confident Learning) to ensure high-quality datasets and better model performance

  Language:Python17002

• JHUAPL/PINE

  Collaborative NLP annotation tool supporting enterprise authentication, inter-annotator statistics, active learning

  Language:Python13543

• JamesShakarji/Kolmogorov-Entropy-Implementations

  I was disappointed there wasn't more open source material/expressions for Kolmogorov complexity/entropy. This repo contains implementations in various languages.

  Language:Python4

• katehret/measuring-language-complexity

  Kolmogorov complexity, language complexity, compression

  Language:R4001

• Andrewymd/DMLPlayground

  This repository contains code for training and evaluating various Deep Metric Learning (DML) algorithms on the CUB200-2011, Cars196 and SOP datasets.

  Language:Python2103

• raphael-sch/alaf

  ALAF - Active Learning Annotation Framework

  Language:Python2200

• gabyarte/active-learning-in-ehealth

  Active Learning for Name Entity Recognition on eHealth Corpus

  Language:Python1100

• lambdavi/SpanLuke

  Legal Named Entity Recognition through combination of SpanMarkers and Luke

  Language:Python11