Reverse Dependencies of accelerate

The following projects have a declared dependency on accelerate:

• a2 — Package for predicting information about the weather from social media data as application 2 for maelstrom project
• Aaron — A python library of convenience
• accmt — Accelerator Module and Trainer based on Accelerate library for simple distributed train processes, inspired by PyTorch Lightning.
• 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
• adaptor — Adaptor: Objective-centric Adaptation Framework for Language Models.
• aegis-web3-cli — no summary
• aeiou — audio engineering i/o utils
• africanwhisper — A package for fast fine-tuning and API endpoint deployment of Whisper model specifically developed to accelerate Automatic Speech Recognition(ASR) for African Languages.
• ag-llama-api — ag_llama_api Test Package for Somthing
• ag-llama-api-s — ag_llama_api_s Test Package for Somthing
• ag-llama-hub — ag_llama_hub Test Package for Somthing
• ag-llama-hub-s — ag_llama_hub Test Package for Somthing
• ag-llama2-api-s — ag_llama2_api_s Test Package for Somthing
• ag-llama2-hub-s — ag_llama2_hub Test Package for Somthing
• agent-llm — An Artificial Intelligence Automation Platform. AI Instruction management from various providers, has an adaptive memory, and a versatile plugin system with many commands including web browsing. Supports many AI providers and models and growing support every day.
• Agentx — AgentX: Seamlessly integrate intelligent agents into your projects. Empower your applications with advanced AI capabilities.
• agilerl — AgileRL is a deep reinforcement learning library focused on improving RL development through RLOps.
• ai-artist — ai_artist made generating image easy using Stable Diffusion AI model.
• ai2-catwalk — A library for evaluating language models.
• aiconfig-extension-hugging-face — An extension for using Hugging Face tasks to parse models for AIConfig.
• aiconfig-extension-llama-guard — An extension for using LLama Guard with aiconfig
• aidevkit — 一些ai开发过程中使用到的工具模块
• aiforthechurch — Package for training and deploying doctrinally correct LLMs.
• aihandler — AI Handler: An engine which wraps certain huggingface models
• aihandlerwindows — AI Handler: An engine which wraps certain huggingface models
• airllm — AirLLM allows single 4GB GPU card to run 70B large language models without quantization, distillation or pruning.
• aisak — AISAK, short for Artificially Intelligent Swiss Army Knife, is a general-purpose AI system comprising various models designed for different tasks. Developed by the AISAK team, one of the models within AISAK is a state-of-the-art language model designed for text generation tasks. This package leverages usage of the model, named AISAK-Assistant, which is fine-tuned on extensive datasets to excel in understanding and interpreting various queries in natural language text.
• aladindb — 🔮 Super-power your database with AI 🔮
• alexa-teacher-models — Alexa Teacher Models
• alignment-handbook — The Alignment Handbook
• alpaca-eval — AlpacaEval : An Automatic Evaluator of Instruction-following Models
• alpaca-farm — no summary
• alphadev — AlphaDev - Pytorch
• alphawave — AlphaWave-py - Functions for smaller Large Language Models (sLLMs)
• Andromeda-llm — andromeda - Pytorch
• andromeda-torch — Andromeda - Pytorch
• andromeda-transformer — andromeda - Pytorch
• antgrid-server — A package for registering servers in Antgrid.
• api2openai — Create a Python package.
• appins — appins - cli tool for enabledu ecosystem
• applyllm — A python package to apply opensource LLM in local CUDA environment
• aqlm — Efficiently run models quantized with AQLM
• aqueduct-llm — Aqueduct LLM Package
• arcee-align — The open source toolkit for finetuning and deploying LLMs
• ares-ai — ARES is an advanced evaluation framework for Retrieval-Augmented Generation (RAG) systems,
• artcraft — Image generation based on diffusers
• Assistant — Your very own Assistant. Because you deserve it.
• AudioAugmentor — Python package for simple application of wide range of audio augmentations.
• audiolm-pytorch — AudioLM - Language Modeling Approach to Audio Generation from Google Research - Pytorch
• audiotextspeakerchangedetect — A Package to Detect Speaker Change based on Textual Features via LLMs & Rule-Based NLP and Audio Features via Pyannote & Spectral Clustering
• auditnlg — Auditing Generative AI Lanugage Modeling for Trustworthiness
• 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
• auto1111sdk — SDK for Automatic 1111.
• autoawq — AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference.
• autogluon.multimodal — Fast and Accurate ML in 3 Lines of Code
• autogluon.timeseries — Fast and Accurate ML in 3 Lines of Code
• autogluon-tonyhu-test.multimodal — AutoML for Image, Text, and Tabular Data
• autonomi-nos — Nitrous oxide system (NOS) for computer-vision.
• autora-doc — Automatic documentation generator from AutoRA code
• autotrain-advanced — no summary
• autotrain-llm — autotrain_llm
• autotransformers — a Python package for automatic training and benchmarking of Language Models.
• azureml-acft-accelerator — Contains the acft accelerator package used in script to build the azureml components.
• 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.
• be-great — Generating Realistic Tabular Data using Large Language Models
• be-great-v — (A Fork)Generating Realistic Tabular Data using Large Language Models
• beam-ds — Beam Datascience package
• benchkit — Your End to End ML workbench.
• bertopic — BERTopic performs topic Modeling with state-of-the-art transformer models.
• bigdl-llm — Large Language Model Develop Toolkit
• bisheng-pybackend-libs — libraries for bisheng rt pybackend
• bit-diffusion — Bit Diffusion - Pytorch
• bongovaad — no summary
• byol-pytorch — Self-supervised contrastive learning made simple
• caikit-nlp — Caikit NLP
• calflops — This package is designed to compute the theoretical amount of FLOPs(floating-point operations)、MACs(multiply-add operations) and Parameters in all various neural networks, such as Linear、 CNN、 RNN、 GCN、Transformer(Bert、LlaMA etc Large Language Model)，including any custom models via torch.nn.function.* as long as based on the Pytorch implementation.
• CALM-Pytorch — CALM - Pytorch
• camel-ai — Communicative Agents for AI Society Study
• catalyst — Catalyst. Accelerated deep learning R&D with PyTorch.
• catalyst-pdm — Catalyst fork compatible with PDM
• chat-rag — no summary
• chatdocs — Chat with your documents offline using AI.
• ChatGLM6Bpkg — ChatGLM6Bpkg is a package for ChatGLM-6B (https://github.com/THUDM/ChatGLM-6B/tree/main).
• chatllama-py — no summary
• ChatLLM — Create a Python package.
• chatmof — chatmof
• ChatSQL — Create a Python package.
• chem-bench — Benchmark chemistry performance of LLMs
• cjm-diffusers-utils — Some utility functions I frequently use with 🤗 diffusers.
• clddp — A package for training and doing inference with contrastive learning with multiple GPUs (Pytorch-DDP).
• CLIP-API-service — Build AI applications with any CLIP models - embed image and sentences, object recognition, visual reasoning, image classification and reverse image search
• clip-interrogator — Generate a prompt from an image
• cm3 — Description of the cm3 package
• codebook-features — Sparse and discrete interpretability tool for neural networks