Reverse Dependencies of einops

The following projects have a declared dependency on einops:

• transformer-lm-gan — Explorations into Transformer Language Model with Adversarial Loss
• transformerocr — Transformer base text detection
• transformerx — TransformerX is a python library for building transformer-based models using ready-to-use layers.
• transfusion-pytorch — Transfusion in Pytorch
• transganformer — TransGanFormer
• transpector — Visually inspect, analyse and debug transformer models. Aimed at reducing cycle times for interpretability research and lowering the barrier to entry.
• treeffuser — Probabilistic predictions for tabular data, using diffusion models and decision trees.
• treex — no summary
• triangle-multiplicative-module — Triangle Multiplicative Module
• trifast — Fast kernel for triangle self attetion.
• triton-transformer — Transformer in Triton
• TSB-AD — Time-Series Anomaly Detection Benchmark
• ttmask — CLI tool for mask creation in cryo-EM/ET
• tts — Deep learning for Text to Speech by Coqui.
• tts-with-rvc — TTS with RVC pipeline
• ttsim3d — Simulate a 3D electrostatic potential map from a PDB in pyTorch
• turbo-alignment — turbo-alignment repository
• txv — A Vision Transformer explainability package
• uformer-pytorch — Uformer - Pytorch
• uground-demo-test — Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents
• ullme — ULLME: A Unified Framework for Large Language Model Embeddings with Generation-Augmented Learning
• ultimate-rvc — Ultimate RVC
• unav — UNav is designed for helping navigation of visually impaired people
• uni2ts — Unified Training of Universal Time Series Forecasting Transformers
• UniCell — Universal cell segmentation
• unified-focal-loss-pytorch — An implementation of loss functions from "Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation"
• UnifiedML — Unified library for intelligence training.
• uniformer-pytorch — Uniformer - Pytorch
• unit-scaling — A library for unit scaling in PyTorch, based on the paper 'u-muP: The Unit-Scaled Maximal Update Parametrization.'
• uniteai — AI, Inside your Editor.
• Unlearn-Diff — Unlearning Algorithms
• Unseal — Unseal: A collection of infrastructure and tools for research in transformer interpretability.
• unsupervised-on-policy — Unsupervised pre-training with PPG
• useful-moonshine — Speech Recognition for Live Transcription and Voice Commands
• uss — Universal source separation (USS) with weakly labelled data.
• v-pyiqa — PyTorch Toolbox for Image Quality Assessment
• vec2text — convert embedding vectors back to text
• vector-quantize-pytorch — Vector Quantization - Pytorch
• versatile-audio-upscaler — Versatile AI-driven audio upscaler to enhance the quality of any audio.
• versatile-audio-upscaler-fixed — Versatile AI-driven audio upscaler to enhance the quality of any audio -- Now supporting Numpy +1.26
• vformer — A modular PyTorch library for vision transformer models
• vicregaddon — A lightweight and modular parallel PyTorch implementation of VICReg (intended for audio, but will try to be general)
• video-clip — AskVideos-VideoCLIP model
• video-dataloader-for-pytorch — A small example package
• video-diffusion-pytorch — Video Diffusion - Pytorch
• video-vit — Paper - Pytorch
• video2dataset — Easily create large video dataset from video urls
• vietocr — Transformer base text detection
• vision-architectures — Vision architectures
• vision-llama — Vision Llama - Pytorch
• vision-mamba — Vision Mamba - Pytorch
• vision-transformer — Flexible Vision Transformer (ViT) model for your needs.
• vision-xformer — Vision Xformers
• VisionDiff — Using the [Differential Transformer](https://arxiv.org/abs/2410.05258) in a vision-friendly way, similar to [VisionMamba](https://github.com/kyegomez/VisionMamba).
• visionts — Using a visual MAE for time series forecasting.
• visu3d — 3d geometry made easy.
• visualizing-training — Modelling Training Dynamics and Interpreting the dynamics
• vit-prisma — A Vision Transformer library for mechanistic interpretability.
• vit-pytorch — Vision Transformer (ViT) - Pytorch
• vit-pytorch-implementation — Vision Transformer (ViT) - Pytorch
• vit-rgts — vit-registers - Pytorch
• vitar — Paper - Pytorch
• vjepa — Moedified from the official PyTorch codebase for the video joint-embedding predictive architecture, V-JEPA, a method for self-supervised learning of visual representations from video.
• vjepa-encoder — JEPA research code.
• vltk — The Vision-Language Toolkit (VLTK)
• VN-transformer — Vector Neuron Transformer (VN-Transformer)
• vocab-coverage — 语言模型中文识字率分析
• vocos — Fourier-based neural vocoder for high-quality audio synthesis
• voicebox-pytorch — Voicebox - Pytorch
• voicecover — no summary
• voltron-robotics — Voltron: Language-Driven Representation Learning for Robotics.
• vortex-fusion — Paper - Pytorch
• vsscunet — SCUNet function for VapourSynth
• VTON — This is a test for my python package upload to pypi
• vtransformer — no summary
• walloc — Wavelet Learned Lossy Compression
• wavemix — WaveMix - Pytorch
• welford-torch — Online Pytorch implementation to get Standard Deviation, Covariance, Correlation and Whitening.
• wildtorch — WildTorch: Leveraging GPU Acceleration for High-Fidelity, Stochastic Wildfire Simulations with PyTorch
• wmh-seg — WMH segmentation for FLAIR images
• x-clip — X-CLIP
• x-dgcnn — X-DGCNN - Pytorch
• x-maes — X-MAEs - Pytorch
• x-mlps — Configurable MLPs built on JAX and Haiku
• x-transformers — X-Transformers
• x-unet — X-Unet
• x2vlm-gml — Package for X2-VLM, a vision-language model from ByteDance
• xarray-einstats — Stats, linear algebra and einops for xarray
• xcodec2 — A library for XCodec2 model.
• xcodec2-infer-lib — Trying to achieve M chip Macbook support for https://huggingface.co/HKUSTAudio/xcodec2.
• xfold — fold for everyone.
• xfuser — A Scalable Inference Engine for Diffusion Transformers (DiTs) on Multiple Computing Devices
• xinfer — Framework agnostic computer vision inference. Run 1000+ models by changing only one line of code. Supports models from transformers, timm, ultralytics, vllm, ollama and your custom model.
• xinference — Model Serving Made Easy
• xlens — Add your description here
• xLSTM — A novel LSTM variant with promising performance compared to Transformers or State Space Models.
• xtuner — An efficient, flexible and full-featured toolkit for fine-tuning large models
• yaib — Yet Another ICU Benchmark is a holistic framework for the automation of the development of clinical prediction models on ICU data. Users can create custom datasets, cohorts, prediction tasks, endpoints, and models.
• yet-another-retnet — yet-another-retnet
• yijian-community — YiJian-Community