Reverse Dependencies of einops-exts

The following projects have a declared dependency on einops-exts:

• aligner-pytorch — Aligner - PyTorch
• anymal-belief-state-encoder-decoder-pytorch — Anymal Belief-state Encoder Decoder - Pytorch
• apiprompting — Package for an easy implementation of paper "Attention Prompting on Image for Large Vision-Language Models".
• audio-diffusion-pytorch-fork — A fork of Flavio Schneider's Audio Diffusion - PyTorch
• audio-encoders-pytorch — Audio Encoders - PyTorch
• beprepared — no summary
• brave-torch — Swarms - Pytorch
• compositional-attention-pytorch — Compositional Attention - Pytorch
• dora-internvl — Dora Node for VLM
• flamingo-pytorch — Flamingo - Pytorch
• harmonai-tools — Training and inference tools for generative audio models from Harmonai
• KosmosX — Transformers at zeta scales
• llava-torch — Towards GPT-4 like large language and visual assistant.
• mantis-vl — Official Codes for of "MANTIS: Interleaved Multi-Image Instruction Tuning"
• minimagen — Minimal Imagen text-to-image model implementation.
• mmgpt — An open-source framework for multi-modality instruction fine-tuning
• nemo-toolkit — NeMo - a toolkit for Conversational AI
• open-flamingo — An open-source framework for training large multimodal models
• otter-ai — Otter: A Multi-Modal Model with In-Context Instruction Tuning
• parti-pytorch — Parti - Pathways Autoregressive Text-to-Image Model - Pytorch
• RQ-transformer — RQ Transformer - Autoregressive Transformer for Residual Quantized Codes
• stable-audio-tools — Training and inference tools for generative audio models from Stability AI
• stepcutis — A document analysis program
• stepGOT — Towards OCR-2.0.
• styletts2 — StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models. Original authors: Yinghao Aaron Li, Cong Han, Vinay S. Raghavan, Gavin Mischler, Nima Mesgarani.
• styletts2-fork — Fork of StyleTTS 2 Python packge. StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models. Original authors: Yinghao Aaron Li, Cong Han, Vinay S. Raghavan, Gavin Mischler, Nima Mesgarani, Sidharth Rajaram.
• tranception-pytorch — Tranception - Pytorch
• uground-demo-test — Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents
• video-diffusion-pytorch — Video Diffusion - Pytorch
• x2vlm-gml — Package for X2-VLM, a vision-language model from ByteDance
• zetascale — Rapidly Build, Optimize, and Train SOTA AI Models