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k-diffusion Public
Karras et al. (2022) diffusion models for PyTorch
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guided-diffusion Public
Forked from openai/guided-diffusion -
flash-attention Public
Forked from Dao-AILab/flash-attentionFast and memory-efficient exact attention
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torch-dist-utils Public
Utilities for PyTorch distributed
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rope-flax Public
Rotary Position Embedding for Flax
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dice-mc Public
DiCE: The Infinitely Differentiable Monte-Carlo Estimator
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style-transfer-pytorch Public
Neural style transfer in PyTorch.
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consistency-models Public
A JAX implementation of the continuous time formulation of Consistency Models
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jax-wavelets Public
The 2D discrete wavelet transform for JAX
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v-diffusion-pytorch Public
v objective diffusion inference code for PyTorch.
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jax Public
Forked from google/jaxComposable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Python Apache License 2.0 UpdatedSep 19, 2022 -
esgd Public
ESGD-M is a stochastic non-convex second order optimizer, suitable for training deep learning models, for PyTorch.
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mdmm-jax Public
Gradient-based constrained optimization for JAX
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stable-diffusion Public
Forked from CompVis/stable-diffusion -
cloob-training Public
CLOOB training (JAX) and inference (JAX and PyTorch)
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deep-image-prior Public
Forked from DmitryUlyanov/deep-image-priorImage restoration with neural networks but without learning.
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exploring-contrastive-topology Public
Forked from EleutherAI/exploring-contrastive-topology -
latent-diffusion Public
Forked from CompVis/latent-diffusionHigh-Resolution Image Synthesis with Latent Diffusion Models
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v-diffusion-jax Public
v objective diffusion inference code for JAX.
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glide-text2im Public
Forked from openai/glide-text2imGLIDE: a diffusion-based text-conditional image synthesis model
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pytorch-caffe-models Public
The original weights of some Caffe models, ported to PyTorch.
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simple-diffusion-model Public
Forked from cfoster0/simple-diffusion-modelPedagogical codebase for a simplified score-based generative model design, with training loop
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torch-fidelity Public
Forked from toshas/torch-fidelityHigh-fidelity performance metrics for generative models in PyTorch
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mdmm Public
The Modified Differential Multiplier Method (MDMM) for PyTorch