crowsonkb

AI/generative artist.

Pinned Repositories

clip-guided-diffusion
CLIP Guided Diffusion
Language:Python57 5 17
deep_dream
A parallel implementation of the Deep Dream image processing algorithm which is able to process arbitrarily large images.
Language:Jupyter Notebook99 6 1021
guided-diffusion
Language:Python150 8 040
jax-wavelets
The 2D discrete wavelet transform for JAX
Language:Python40 2 02
k-diffusion
Karras et al. (2022) diffusion models for PyTorch
Language:Python2.4k 42 66383
simulacra-aesthetic-models
Language:Python166 8 123
style-transfer-pytorch
Neural style transfer in PyTorch.
Language:Python480 22 16116
style_transfer
Data-parallel image stylization using Caffe.
Language:Python113 15 2314
v-diffusion-jax
v objective diffusion inference code for JAX.
Language:Python211 12 418
v-diffusion-pytorch
v objective diffusion inference code for PyTorch.
Language:Python716 28 17108

crowsonkb's Repositories

crowsonkb/k-diffusion
Karras et al. (2022) diffusion models for PyTorch
Language:Python2.4k 42 66383
crowsonkb/v-diffusion-pytorch
v objective diffusion inference code for PyTorch.
Language:Python716 28 17108
crowsonkb/style-transfer-pytorch
Neural style transfer in PyTorch.
Language:Python480 22 16116
crowsonkb/v-diffusion-jax
v objective diffusion inference code for JAX.
Language:Python211 12 418
crowsonkb/simulacra-aesthetic-models
Language:Python166 8 123
crowsonkb/guided-diffusion
Language:Python150 8 040
crowsonkb/consistency-models
A JAX implementation of the continuous time formulation of Consistency Models
Language:Python84 3 03
crowsonkb/cloob-training
CLOOB training (JAX) and inference (JAX and PyTorch)
Language:Python70 9 09
crowsonkb/LDLM
Latent Diffusion Language Models
Language:Python67 7 01
crowsonkb/latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
Language:Jupyter Notebook62 7 016
crowsonkb/clip-guided-diffusion
CLIP Guided Diffusion
Language:Python57 5 17
crowsonkb/esgd
ESGD-M is a stochastic non-convex second order optimizer, suitable for training deep learning models, for PyTorch.
Language:Python56 5 05
crowsonkb/mdmm
The Modified Differential Multiplier Method (MDMM) for PyTorch
Language:Python54 3 311
crowsonkb/deep-image-prior
Image restoration with neural networks but without learning.
Language:Jupyter Notebook46 5 09
crowsonkb/jax-wavelets
The 2D discrete wavelet transform for JAX
Language:Python40 2 02
crowsonkb/dice-mc
DiCE: The Infinitely Differentiable Monte-Carlo Estimator
Language:Python31 4 01
crowsonkb/mdmm-jax
Gradient-based constrained optimization for JAX
Language:Python28 3 0
crowsonkb/torch-dist-utils
Utilities for PyTorch distributed
Language:Python23 2 0
crowsonkb/cond_transformer_2
A CLIP conditioned Decision Transformer.
Language:Python22 5 22
crowsonkb/glide-text2im
GLIDE: a diffusion-based text-conditional image synthesis model
Language:Python20 2 04
crowsonkb/pytorch-caffe-models
The original weights of some Caffe models, ported to PyTorch.
Language:Python11 3 08
crowsonkb/rope-flax
Rotary Position Embedding for Flax
Language:Python7 2 0
crowsonkb/simple-diffusion-model
Pedagogical codebase for a simplified score-based generative model design, with training loop
Language:Python7 3 02
crowsonkb/stable-diffusion
Language:Jupyter Notebook7 2 0
crowsonkb/kat-wip
works in progress
Language:Python5 4 0
crowsonkb/torch-fidelity
High-fidelity performance metrics for generative models in PyTorch
Language:Python5 2 0
crowsonkb/exploring-contrastive-topology
Language:Jupyter Notebook3 2 01
crowsonkb/flash-attention
Fast and memory-efficient exact attention
Language:Python2 1 0
crowsonkb/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Language:Python2 0
crowsonkb/lpips-jax
Language:Python2 0