shinypond Goto Github PK

localbasis

loci

Learning What and Where – Unsupervised Disentangling Location and Identity Tracking

ltsf-linear

This is the official implementation for AAAI-23 paper "Are Transformers Effective for Time Series Forecasting?"

machine-learning

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

mujoco-py

MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

multinomial_diffusion

ood_detection

Out-of-Distribution Detection for VAE, GLOW

open_clip

An open source implementation of CLIP.

perceiver-io

Unofficial implementation of Perceiver IO

perceiver-pytorch

Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch

pg-is-all-you-need

Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.

ppo-pytorch

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

progressive-gan-pytorch

A pytorch implementation of Progressive-GAN that is actually works, readable and simple to customize

projected_gan

[NeurIPS'21] Projected GANs Converge Faster

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

pytorch-a3c

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-generative-model-collections

Collection of generative models in Pytorch version.

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch-rbm

Restricted Boltzmann Machines (RBMs) in PyTorch

pytorch_gan_zoo

A mix of GAN implementations including progressive growing

q-learning_with_bounded_naf

The implementation for the paper Continuous Deep Q-Learning in Optimal Control Problems: Normalized Advantage Functions Analysis // NeurIPS 2022

rainbow-is-all-you-need

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

recovery_likelihood

refinenet-pytorch

RefineNet-101 VOC in PyTorch

sb-fbsde

Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022

score_sde_pytorch

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

sdedit

PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations

sdeflow-light

A minimalist implementation of score-based diffusion model

self-supervised-gan-eval