jkhalsa-arabesque

jkhalsa-arabesque's Stars

• neuralgraphdatabases/awesome-logical-query

  A collection of resources on the topic of Complex Logical Query Answering

  16314

• eth-sri/lmql

  A language for constraint-guided and efficient LLM programming.

  Language:Python3.6k194

• microsoft/JARVIS

  JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

  Language:Python23.5k2k

• twitter/the-algorithm-ml

  Source code for Twitter's Recommendation Algorithm

  Language:Python10k2.2k

• Nixtla/statsforecast

  Lightning ⚡️ fast forecasting with statistical and econometric models.

  Language:Python3.8k267

• juncongmoo/chatllama

  ChatLLaMA 📢 Open source implementation for LLaMA-based ChatGPT runnable in a single GPU. 15x faster training process than ChatGPT

  Language:Python1.2k138

• Unstructured-IO/unstructured-inference

  Language:Python14845

• Unstructured-IO/unstructured

  Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

  Language:HTML8.3k680

• microsoft/LMOps

  General technology for enabling AI capabilities w/ LLMs and MLLMs

  Language:Python3.5k267

• varunshenoy/GraphGPT

  Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️‍♂️

  Language:JavaScript4.3k381

• karpathy/minGPT

  A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

  Language:Python19.8k2.5k

• AnacletoLAB/grape

  🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations

  Language:Jupyter Notebook51838

• uhh-lt/sensegram

  Making sense embedding out of word embeddings using graph-based word sense induction

  Language:Python21250

• online-ml/river

  🌊 Online machine learning in Python

  Language:Python5k539

• Ki6an/fastT5

  ⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.

  Language:Python55772

• cleanlab/cleanlab

  The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

  Language:Python9.4k723

• zenml-io/mlstacks

  A series of Terraform based recipes to provision popular MLOps stacks on the cloud.

  Language:HCL24633

• chschock/textsplit

  Segment documents into coherent parts using word embeddings.

  Language:Jupyter Notebook14528

• yangheng95/PyABSA

  Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.;

  Language:Jupyter Notebook923159

• MaartenGr/KeyBERT

  Minimal keyword extraction with BERT

  Language:Python3.4k342

• marcotcr/lime

  Lime: Explaining the predictions of any machine learning classifier

  Language:JavaScript11.5k1.8k

• cdpierse/transformers-interpret

  Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

  Language:Jupyter Notebook1.3k96

• davidberenstein1957/classy-classification

  This repository contains an easy and intuitive approach to few-shot classification using sentence-transformers or spaCy models, or zero-shot classification with Huggingface.

  Language:Python20815

• davidberenstein1957/fast-sentence-transformers

  Simply, faster, sentence-transformers

  Language:Python12710

• davidberenstein1957/crosslingual-coreference

  A multi-lingual approach to AllenNLP CoReference Resolution along with a wrapper for spaCy.

  Language:Python10017

• pola-rs/polars

  Dataframes powered by a multithreaded, vectorized query engine, written in Rust

  Language:Rust29.1k1.8k

• makcedward/nlpaug

  Data augmentation for NLP

  Language:Jupyter Notebook4.4k460

• mega002/lm-debugger

  The official code of LM-Debugger, an interactive tool for inspection and intervention in transformer-based language models.

  Language:Python16817

• ml-tooling/best-of-ml-python

  🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

  16.2k2.3k

• HSLCY/ABSA-BERT-pair

  Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence (NAACL 2019)

  Language:Python493138