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Stable Diffusion web UI
High-Resolution Image Synthesis with Latent Diffusion Models
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Write scalable load tests in plain Python 🚗💨
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Open standard for machine learning interoperability
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Python Implementation of Reinforcement Learning: An Introduction
A graph-relational database with declarative schema, built-in migration system, and a next-generation query language
Keras implementations of Generative Adversarial Networks.
Supervisor process control system for Unix (supervisord)
MicroK8s is a small, fast, single-package Kubernetes for datacenters and the edge.
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
A template for PostgreSQL High Availability with Etcd, Consul, ZooKeeper, or Kubernetes
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
Model summary in PyTorch similar to `model.summary()` in Keras
Tensorflow prebuilt binary for Windows
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
Keras Temporal Convolutional Network.
Rainbow: Combining Improvements in Deep Reinforcement Learning
Deep Learning for Time Series Classification
A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.