easy_normalizing_flow

PyDyNet

NumPy实现类PyTorch的动态计算图和神经网络框架(MLP, CNN, RNN, Transformer)

dice-mc

DiCE: The Infinitely Differentiable Monte-Carlo Estimator

Soft-Actor-Critic

PyTorch Implementation of Soft Actor-Critic Algorithm

phgrad

phgrad - Cause there are not enough unusable autograd libraries in python

diffusion-transformer

Pytorch and JAX Implementation of Scalable Diffusion Models with Transformers | Diffusion Transfo...

causal-tracer

Causal tracing for language models

generative-models

Generative Models by Stability AI

PytorchExamples

probflow

A Python package for building Bayesian models with TensorFlow or PyTorch

mxnet-gan

MultiGPU enabled image generative models (GAN and DCGAN)

VAE-tensorflow

Code for Variational AutoEncoder(VAE) using tensorflow

MNIST-Tensorflow-Code

It contains Data Augmentaion, Strided convolution, Batch Normalization, Leaky Relu, Global Averag...

VAR

[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregress...

CVAE

Tensorflow Code for Conditional Variational AutoEncoder

VINF

Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VIN...