Reverse Dependencies of accelerate
The following projects have a declared dependency on accelerate:
- OpenLLM — OpenLLM: Operating LLMs in production
- openllm-core — OpenLLM Core: Core components for OpenLLM.
- optimum — Optimum Library is an extension of the Hugging Face Transformers library, providing a framework to integrate third-party libraries from Hardware Partners and interface with their specific functionality.
- optimum-habana — Optimum Habana is the interface between the Hugging Face Transformers and Diffusers libraries and Habana's Gaudi processor (HPU). It provides a set of tools enabling easy model loading, training and inference on single- and multi-HPU settings for different downstream tasks.
- optimum-intel — Optimum Library is an extension of the Hugging Face Transformers library, providing a framework to integrate third-party libraries from Hardware Partners and interface with their specific functionality.
- optimum-neuron — Optimum Neuron is the interface between the Hugging Face Transformers and Diffusers libraries and AWS Tranium and Inferentia accelerators. It provides a set of tools enabling easy model loading, training and inference on single and multiple neuron core settings for different downstream tasks.
- optimum-nvidia — Optimum Nvidia is the interface between the Hugging Face Transformers and NVIDIA GPUs. "
- osmosis — An experimental Stable Diffusion frontend
- otter-ai — Otter: A Multi-Modal Model with In-Context Instruction Tuning
- ouroboros-hf-text-generation — Simple hugging face text generation utility package with multiple prompt format support and history.
- outlines — Probabilistic Generative Model Programming
- outlinesmlx — Probabilistic Generative Model Programming
- ovcontrolnet-tools — Packages for simple implementations of OVControlNet
- ovsd-tools — Packages for simple implementations of Stable Diffusion with OpenVINO
- paint-with-words-pipeline — no summary
- paintmind — no summary
- PaLM-rlhf-pytorch — PaLM + Reinforcement Learning with Human Feedback - Pytorch
- Peacasso — UI tool to help you generate art (and experiment) with multimodal (text, image) AI models (stable diffusion)
- peft — Parameter-Efficient Fine-Tuning (PEFT)
- peft-machinify — Parameter-Efficient Fine-Tuning (PEFT)
- periflow-client — Client of PeriFlow, the fastest generative AI serving available.
- persyn — Personality Syndrome. Persyn for short.
- petals — Easy way to efficiently run 100B+ language models without high-end GPUs
- phasellm — Wrappers for common large language models (LLMs) with support for evaluation.
- phenaki-pytorch — Phenaki - Pytorch
- phi-torch — Phi - Pytorch
- pleonasty — A very simple abstraction for LLMs to get single responses to a given input.
- plotano — no summary
- postocr-3stages — Post-OCR correction in 3 stages.
- prokbert — ProkBERT
- promptbench — PromptBench is a powerful tool designed to scrutinize and analyze the interaction of large language models with various prompts. It provides a convenient infrastructure to simulate **black-box** adversarial **prompt attacks** on the models and evaluate their performances.
- pruna-engine — Run AI models smashed by Pruna AI
- pt-pump-up — Hub for Portuguese NLP resources
- ptpt — PyTorch Personal Trainer: My personal framework for deep learning experiments
- py-data-juicer — A One-Stop Data Processing System for Large Language Models.
- py-dreambooth — Easily create your own AI avatar images!
- pyfastedit — Editing large language models within 10 seconds
- pyfate — no summary
- pyiqa — PyTorch Toolbox for Image Quality Assessment
- pykoi — pykoi: Active learning in one unified interface
- pyllms — Minimal Python library to connect to LLMs (OpenAI, Anthropic, Google Palm2/Vertex, Mistral, Ollama, AI21, Cohere, Aleph-Alpha, HuggingfaceHub), with a built-in model performance benchmark.
- pyllmsearch — LLM Powered Advanced RAG Application
- pyreft — REFT: Representation Finetuning for Language Models
- pysentimiento — A Transformer-based library for SocialNLP tasks
- pytorch-accelerated — A lightweight library designed to accelerate the process of training PyTorch models by providing a minimal, but extensible training loop which is flexible enough to handle the majority of use cases, and capable of utilizing different hardware options with no code changes required.
- pytorch-clip-interrogator — Prompt engineering tool using BLIP 1/2 + CLIP Interrogate approach.
- pytorch-custom-utils — Pytorch Custom Utils
- pytorch-ml-utils — Pytorch ML Utils
- pytorch-model-wrapper — Pytorch model wrapper
- pytorch-rex — A toolkit for Relation Extraction and more...
- pytorch3d — PyTorch3D is FAIR's library of reusable components for deep Learning with 3D data.
- PyTrial — PyTrial: A Python Package for Artificial Intelligence in Drug Development
- pyvene — Use Activation Intervention to Interpret Causal Mechanism of Model
- q-transformer — Q-Transformer
- qatch — no summary
- qkogpt — Quantized KoGPT
- qllm — A general x-bit quantization engine for LLMs,[2-8] bits, awq/gptq/hqq
- qlora-tunner — A Python package for Qlora fine-tuning open-source Large language models
- quasarx — quasar - Pytorch
- query-package-documentation — A package to explore documentations
- REaLTabFormer — A novel method for generating tabular and relational data using language models.
- repeng — representation engineering / control vectors
- retriever-search — Local retriever search for your use
- rewardbench — Tools for evaluating reward models
- riffusion — Stable diffusion for real-time music generation.
- RIN-pytorch — RIN - Recurrent Interface Network - Pytorch
- RiskBERT — Generalized semantic regression with a BERT base.
- rungpt — An open-source cloud-native of large multi-modal models (LMMs) serving framework.
- safe-mol — Implementation of the 'Gotta be SAFE: a new framework for molecular design' paper
- sagemaker — Open source library for training and deploying models on Amazon SageMaker.
- sagemaker-ssh-helper — A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)
- sagemode — Deploy, scale, and monitor your ML models all with one click. Native to AWS.
- samclipdiffusion — A package for clip-guided diffusion
- sandeep-keyword-generator — Keyword extraction using LLMs
- scale-score — Implementation of SCALE metric and ScreenEval
- scandeval — Evaluation of pretrained language models on mono- or multilingual language tasks.
- SciPhi — SciPhi: A Framework for LLM Powered Data.
- sd-server — Stable Diffusion server built with FastAPI
- sd_tools — command line tool for stable diffusion
- sdkit — sdkit (stable diffusion kit) is an easy-to-use library for using Stable Diffusion in your AI Art projects. It is fast, feature-packed, and memory-efficient. It bundles Stable Diffusion along with commonly-used features (like SDXL, ControlNet, LoRA, Embeddings, GFPGAN, RealESRGAN, k-samplers, custom VAE etc). It also includes a model-downloader with a database of commonly used models, and advanced features like running in parallel on multiple GPUs, auto-scanning for malicious models etc.
- sdqrcode — Generate ai qr codes with stable diffusion and controlnet with standardised methods
- segmoe — Package for Mixing Stable Diffusiion XL Models by Segmind
- self-rewarding-lm-pytorch — Self Rewarding LM - Pytorch
- senselab — Senselab is a Python package that simplifies building pipelines for speech and voice analysis.
- separability — LLM Tools for looking at separability of LLM Capabilities
- seperability — Seperability of LLM Capabilities
- sevals — A framework for evaluating language models
- shazbot — Sound Hierarchy Attribute Zeitgeist Before Oligarchy Take
- shtec-rlhf — shtec-rlhf: Safe Reinforcement Learning from Human Feedback
- sig-networks — Neural networks for longitudinal NLP classification tasks.
- simple-deployment — no summary
- simple-falcon — Falcon - Pytorch
- simple-generation — A python package to run inference with HuggingFace checkpoints wrapping many convenient features.
- simple-hierarchical-transformer — Simple Hierarchical Transformer
- simplerag — This package will help you talk to your data using Retrieval Augmented Generation (RAG).
- simpletrainer — Simple PyTorch Trainer
- skorch — scikit-learn compatible neural network library for pytorch
- smalldiffusion — A minimal but functional implementation of diffusion model training and sampling
- social-llama — Social Llama
- souJpg-diffusers — State-of-the-art diffusion in PyTorch and JAX.