Reverse Dependencies of torchsde
The following projects have a declared dependency on torchsde:
- airoot — Suite of generation models for text, image, audio and video.
- arlatentsde — Amortized Reparametrization for Continuous Time Autoencoders (ARCTA)
- auto1111sdk — SDK for Automatic 1111.
- comfylib — Stable Diffusion library, based on the implementation in ComfyUI
- comfyui — An installable version of ComfyUI
- dgenerate — Batch image generation and manipulation tool supporting Stable Diffusion and related techniques / algorithms, with support for video and animated image processing.
- exdyn — Analyze cell state dynamics dependent on extrinsic factors
- GenerativeRL — PyTorch implementations of generative reinforcement learning algorithms
- horde-engine — A wrapper around ComfyUI to allow use by AI Horde.
- hordelib — A thin wrapper around ComfyUI to allow use by AI Horde.
- imaginarium — no summary
- invokeai — An implementation of Stable Diffusion which provides various new features and options to aid the image generation process
- k-diffusion — Karras et al. (2022) diffusion models for PyTorch
- muko — 加速实现AIGC、自动办公的中文编程工具
- nemo-toolkit — NeMo - a toolkit for Conversational AI
- neural-diffeqs — Neural differential equations made easy.
- neuromancer — Neural Modules with Adaptive Nonlinear Constraints and Efficient Regularization
- 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.
- scdiffeq — scDiffEq: modeling single-cell dynamics using neural differential equations.
- scepter — no summary
- sgmse — Speech enhancement model using SGMSE
- smartdiffusion — A library for making it easier to work with neural networks
- stablepy — A tool for easy use of stable diffusion
- svise — State estimation of a physical system with unknown governing equations
- torchcde — Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
- torchdyn — A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods.
- unitorch — unitorch provides efficient implementation of popular unified NLU / NLG / CV / CTR / MM / RL models with PyTorch.
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