awesome-autodl

A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.

awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-diffusionmodels-paper

A curasted list of papers with the topic of Diffusion Models for Multi-Modal

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

carla

Open-source simulator for autonomous driving research.

celebamask-hq

A large-scale face dataset for face parsing, recognition, generation and editing.

crf

Simple implementation of Conditional Random Fields (CRF) in Python. A faster, more powerful, Cython implementation is available in the vocrf project https://github.com/timvieira/vocrf

cs231_assignment_solution1718

My solution for assignments of Stanford's lectures CS231n: Convolutional Neural Networks for Visual Recognition Spring 2017/2018.

darts

Differentiable architecture search for convolutional and recurrent networks

ddpg-keras-torcs

Using Keras and Deep Deterministic Policy Gradient to play TORCS

face-segmentation

gen_ss

gym_torcs

handwriting_generation

A handwriting synthesis model based on Alex Grave's paper <Generating Sequences with Recurrent Neural Networks>

image_segmentation

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

mindspore

MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.

models

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）

models-1

A collection of pre-trained, state-of-the-art models in the ONNX format

motion_learning_with_ddpg

Semester project of lecture Applied Reinforcement Learning 2018

nas-bench-201

NAS-Bench-201 API and Instruction

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

osim-rl

Reinforcement learning environments with musculoskeletal models

paper_reading

pix2pixhd

Synthesizing and manipulating 2048x1024 images with conditional GANs

py_img_seg_eval

Evaluation metrics for image segmentation inspired by paper Fully Convolutional Networks for Semantic Segmentation

pytorch-linknet

segmentation_models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

stable-diffusion

A latent text-to-image diffusion model

stable-diffusion-guide

Here is a guide for Stable Diffusion