Reverse Dependencies of einops

The following projects have a declared dependency on einops:

• cryoSPHERE — Structural heterogeneous cryoEM reconstruction: https://github.com/Gabriel-Ducrocq/cryoSPHERE
• cryotypes — Generalized python types and validators for cryoEM data.
• cslib — AI Lab of Charles Shan -- A Notebook for AI Learning
• cstx — Description of the cstx package
• curvlinops-for-pytorch — scipy Linear operators for curvature matrices in PyTorch
• cvdm — Code for Conditional Variational Diffusion Models
• cvt-tensorflow — TensorFlow 2.X reimplementation of CvT: Introducing Convolutions to Vision Transformers, Haiping Wu, Bin Xiao, Noel Codella, Mengchen Liu, Xiyang Dai, Lu Yuan, Lei Zhang.
• cybertron-llm — cybertron- Pytorch
• cyto-dl — Collection of representation learning models, techniques, callbacks, utils, used to create latent variable models of cell shape, morphology and intracellular organization.
• d3nav — D³Nav: Data-Driven Driving Agents for Autonomous Vehicles in Unstructured Traffic
• dailyai — An open source framework for real-time, multi-modal, conversational AI applications
• dalle-mini — DALL·E mini - Generate images from a text prompt
• dalle-pytorch — DALL-E - Pytorch
• dalle-pytorch-dev — DALL-E - Pytorch
• dalle2-pytorch — DALL-E 2
• dasheng — no summary
• data-snapshot — no summary
• dataclass-array — Dataclasses that behave like numpy arrays (with indexing, slicing, vectorization).
• dbgpt-hub — DB-GPT-Hub: Text-to-SQL parsing with LLMs
• ddpm-proteins — Denoising Diffusion Probabilistic Models - for Proteins - Pytorch
• deep-cross-attention — Deep Cross Attention Language Model
• deep-daze — Deep Daze
• deep-image-matching — Multiview matching with deep-learning and hand-crafted local features for COLMAP and other SfM software.
• deepab-pytorch — Unofficial implementation of DeepAb in PyTorch.
• deepcompressor-toolkit — This package is model compression toolkit for large language models and diffusion models.
• deepinv — Pytorch library for solving inverse problems with deep learning
• DeepSaki — DeepSaki is an add-on to TensorFlow. It provides a variaty of custom classes ranging from activation functions to entire models, helper functions to facilitate connectiong to your, compute HW and many more!
• DeepSecE — A Deep Learning Framework for Multi-class Secreted Effector Prediction in Gram-negative Bacteria.
• deepspeed-mii — deepspeed mii
• deformable-attention — Deformable Attention - from the paper "Vision Transformer with Deformable Attention"
• deforum — diffusion animation toolkit
• demonstrable-whisperx-service — A standalone service for transcribing audio files using WhisperX
• denoising-diffusion-pytorch — Denoising Diffusion Probabilistic Models - Pytorch
• depthcharge-ms — A mass spectrometry toolkit for deep learning with Transformer models.
• descript-audio-codec — A high-quality general neural audio codec.
• descript-mlx — Descript Audio Codec - MLX
• DESolver — Differential Equation System Solver
• devinterp — A library for doing research on developmental interpretability
• df3dbehav — Behavior Estimation on DeepFly3D annotations
• dflat-opt — D-Flat is a forward and inverse design framework for flat optics. Although specially geared for the design of metasurfaces, it may be used broadly for end-to-end imaging and sensing task.
• dgenerate — Batch image generation and manipulation tool supporting Stable Diffusion and related techniques / algorithms, with support for video and animated image processing.
• dgmr — PyTorch Skillful Nowcasting GAN Implementation
• DI-engine — Decision AI Engine
• diart — A python framework to build AI for real-time speech
• dictionary-learning — Dictionary learning via sparse autoencoders on neural network activations
• diff-plonk — Diffusion Geolocalization package for PLONK models
• diffnovo — DiffNovo: A Transformer-Diffusion Model for De Novo Peptide Sequencing
• difformer-pytorch — Difformer - PyTorch
• diffusers-ncsn — Diffusers implementation of Noise Conditional Score Networks (NCSN) [Yang+ NeuriPS'19]
• diffusions — Diffusion models
• dilated-attention-pytorch — project_description
• diptorch — Digital image processing in PyTorch
• discrete-key-value-bottleneck-pytorch — Discrete Key / Value Bottleneck - Pytorch
• dkoshman-my-tools — no summary
• dlsia — Deep Learning for Scientif Image Analysis
• dmme — Diffusion Models Made Easy
• dmri-pcconv — Parametric Continuous Convolution framework used for Diffusion MRI.
• dmri-rcnn — Diffusion MRI Recurrent CNN for Angular Super-resolution.
• dopamax — Reinforcement learning in pure JAX.
• dora-internvl — Dora Node for VLM
• dpeeg — Deep learning with EEG
• dreamkit — A toolkit for reinforcement learning research with Dreamerv3 using PyTorch.
• dreamsboard — no summary
• drlx — DRLX is a library for distributed training of diffusion models via RL
• drop-backend — API and Command line tools for building drop
• dtpu — Utilities for text processing tasks with Deep NLP
• dual-attention — Python package implementing the Dual Attention Transformer (DAT), as proposed by the paper "Disentangling and Integrating Relational and Sensory Information in Transformer Architectures" by Awni Altabaa, John Lafferty.
• dualcodec — The DualCodec neural audio codec.
• dulu — A Python library for OCR
• duyll — no summary
• dv-pipecat-ai — An open source framework for voice (and multimodal) assistants
• dynamic-prompting — Dynamic Few-Shot Prompting is a Python package that dynamically selects N samples that are contextually close to the user's task or query from a knowledge base (similar to RAG) to include in the prompt.
• e2-tts-pytorch — E2-TTS in Pytorch
• e2e-sae — Repo for training sparse autoencoders end-to-end
• e2tts-mlx — Embarrassingly Easy Fully Non-Autoregressive Zero-Shot TTS in MLX
• earth2studio — Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
• earthformer — A Python package for Earth forecasting transformer (Earthformer)
• EasyDeL — Accelerate, Optimize performance with streamlined training and serving options with JAX.
• easyeditor — easyeditor - Editing Large Language Models
• easyjailbreak — Easy Jailbreak toolkit
• easyroutine — no summary
• ecko-cli — CLI tool that easily converts a directory of images into a dataset for training generative ai models
• EduRPA — education librabry for RPA
• edurpa-document — education librabry for RPA
• eeggan — This package uses Generative Adversarial Networks (GANs) to augment EEG data to enhance classification performance.
• eerfile — Read electron event representation (EER) files in Python
• efficientvit-gml — open-set object detector
• egnn-pytorch — E(n)-Equivariant Graph Neural Network - Pytorch
• einconv — Convolutions as tensor contractions (einsums) for PyTorch
• eindex-callum — My interpretation of einops-like indexing
• einindex — no summary
• einmesh — einops style multi dimensional meshgrids
• einml — Tensorflow utility library
• einop — no summary
• einops-exts — Einops Extensions
• eir-dl — Deep learning framework for genomics and multi-modal data
• eleuther-elk — Keeping language models honest by directly eliciting knowledge encoded in their activations
• ellzaf-ml — Ellzaf ML
• embdata — Data, types, pipes, manipulation for embodied learning.
• EmotiVoice — EmotiVoice 😊: a Multi-Voice and Prompt-Controlled TTS Engine