Reverse Dependencies of datasets

The following projects have a declared dependency on datasets:

• 3lc — 3LC Python Package - A tool for model-guided, interactive data debugging and enhancements
• a2 — Package for predicting information about the weather from social media data as application 2 for maelstrom project
• Aaron — A python library of convenience
• accelerate — Accelerate
• active-transformers — Active Learning for Transformer with focus on Sequence Tagging tasks
• activetigger — ActiveTigger in Python
• adapter-transformers — A friendly fork of HuggingFace's Transformers, adding Adapters to PyTorch language models
• adapters — A Unified Library for Parameter-Efficient and Modular Transfer Learning
• adaptnlp — An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.
• adaseq — AdaSeq: An All-in-One Library for Developing State-of-the-Art Sequence Understanding Models
• adept-augmentations — A Python library aimed at adeptly, augmenting NLP training data.
• adversarial-insight-ml — no summary
• aegis-web3-cli — no summary
• africanwhisper — A package for fast fine-tuning and API endpoint deployment of the Whisper model, specifically developed to accelerate Automatic Speech Recognition (ASR) for African languages.
• ai-dive — Framework to help you dive into AI
• ai2-catwalk — A library for evaluating language models.
• ai2-olmo — Open Language Model (OLMo)
• ai2-tango — A library for choreographing your machine learning research.
• aibench — no summary
• aideml — Autonomous AI for Data Science and Machine Learning
• aidevkit — 一些ai开发过程中使用到的工具模块
• aidriver — AIDriver
• aigc-evals — aigc_evals
• ainyan — Helpers for AI training
• aisee — aisee is a Python package for image classification using PyTorch and timm created by Instituto de Ingeniería del Conocimiento
• aladindb — 🔮 Super-power your database with AI 🔮
• alexa-teacher-models — Alexa Teacher Models
• alexandra-ai-eval — Evaluation of finetuned models.
• algorin-cli — Acceso a GPT-3 y procesamiento de documentos desde la línea de comandos.
• alignment-handbook — The Alignment Handbook
• allennlp-models — Officially supported models for the AllenNLP framework
• alpaca-eval — AlpacaEval : An Automatic Evaluator of Instruction-following Models
• alpaca-farm — no summary
• alphadev — AlphaDev - Pytorch
• alphai — no summary
• Andromeda-llm — andromeda - Pytorch
• andromeda-torch — Andromeda - Pytorch
• andromeda-transformer — andromeda - Pytorch
• angle-emb — AnglE-optimize Text Embeddings
• aniemore — Aniemore (Artem Nikita Ilya EMOtion REcognition) is a library for emotion recognition in voice and text for russian language.
• ankh — Optimized Protein Language Model
• anyGPT — A general purpose library for training any type of GPT model. Support for gpt-1, gpt-2, and gpt-3 models.
• anypy — A collection of python utilities, without hard dependencies
• api-inference-community — A package with helper tools to build an API Inference docker app for Hugging Face API inference using huggingface_hub
• ApiRack — no summary
• arcee-align — The open source toolkit for finetuning and deploying LLMs
• archai — Platform for Neural Architecture Search
• ares-ai — ARES is an advanced evaluation framework for Retrieval-Augmented Generation (RAG) systems,
• argilla — Open-source tool for exploring, labeling, and monitoring data for NLP projects.
• ariadne-ai — no summary
• arize — A helper library to interact with Arize AI APIs
• ark-analysis — Toolbox for analysis on segmented images from MIBI.
• armory-examples — TwoSix Armory Adversarial Robustness Library Examples
• art-training — ART - Actually Robust Training framework - a framework that teaches good practices when training deep neural networks.
• artificial-detection — Python framework for artificial text detection with NLP approaches.
• asian-mtl — Seamlessly translate East Asian texts with deep learning models.
• asociita — An intuitive and modular simulator for assessing the marginal value of a client's contribution in a decentralized setting.
• asrecognition — ASRecognition: just an easy-to-use library for Automatic Speech Recognition.
• Assistant — Your very own Assistant. Because you deserve it.
• asyncval — Asyncval: A toolkit for asynchronously validating dense retriever checkpoints during training.
• athina — Python SDK to configure and run evaluations for your LLM-based application
• atradebot — atradebot package
• AudioAugmentor — Python package for simple application of wide range of audio augmentations.
• audiodiffusion — Generate Mel spectrogram dataset from directory of audio files.
• auto-around — Repository of AutoRound: Advanced Weight-Only Quantization Algorithm for LLMs
• auto-coder — AutoCoder: AutoCoder
• auto-gptq — An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.
• auto-round — Repository of AutoRound: Advanced Weight-Only Quantization Algorithm for LLMs
• autoawq — AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference.
• autocontrastive-gen — Auto-Contrastive Text Generation
• autogluon.multimodal — Fast and Accurate ML in 3 Lines of Code
• autogluon-tonyhu-test.multimodal — AutoML for Image, Text, and Tabular Data
• autogoal-transformers — transformers algorithm library wrapper for AutoGOAL
• autonlp — HuggingFace/AutoNLP
• autonon — Organon Automated ML Platform
• autotrain-advanced — no summary
• autotrain-llm — autotrain_llm
• autotraino — AutoML for Tabular datasets.
• autotransformers — a Python package for automatic training and benchmarking of Language Models.
• aws-fortuna — A Library for Uncertainty Quantification.
• azureml-acft-contrib-hf-diffusion — Contains the acft nlp-hf-contrib package used in script to build azureml components.
• azureml-acft-contrib-hf-nlp — Contains the acft nlp-hf-contrib package used in script to build azureml components.
• azureml-acft-multimodal-components — Contains the acft multimodal-contrib package used in script to build azureml components.
• azureml-automl-dnn-nlp — End to end deep learning models for NLP tasks in AutoML.
• azureml-evaluate-mlflow — Contains the integration code of AzureML Evaluate with Mlflow.
• b2aiprep — A small package to generate features from acoustic
• baal — Library to enable Bayesian active learning in your research or labeling work.
• babeltalk — Default template for PDM package
• balm-antibody — BALM: Baseline Antibody Language Model
• bayesian-lora — Bayesian LoRA adapters for Language Models
• BCEmbedding — A text embedding model and reranking model produced by Netease Youdao Inc., which can be use for dense embedding retrieval and reranking in RAG workflow.
• be-great — Generating Realistic Tabular Data using Large Language Models
• be-great-v — (A Fork)Generating Realistic Tabular Data using Large Language Models
• bellek — My digital memory
• benchllama — Benchmark your local LLMs.
• bert-squeeze — Tools for Transformers compression using PyTorch Lightning
• bertagent — Quantify linguistic agency in textual data.
• berteome — A library to analyze and explore protein sequences using BERT models
• BERTLocRNA — Predicting RNA localization based on RBP binding information in BERT architecture
• bertserini-on-telegram — A library, based on PyTorch, that implements bertserini code.