PaddleHub
deepdrive
Our great sponsors
| PaddleHub | deepdrive | |
|---|---|---|
| 9 | 1 | |
| 12,510 | 871 | |
| 0.7% | 0.1% | |
| 1.9 | 0.0 | |
| 6 months ago | 7 months ago | |
| Python | Python | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
PaddleHub
-
Where are all the multi-modal models?
China: All of the ERNIE 260B cross-modal stuff.
-
[R] ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts + Gradio Demo
Hmm, is the code published? The thing on github just makes requests to a remote server.
-
PaddleHub ERNIE-ViLG
PaddleHub has many interesting model, I have starred it. https://github.com/PaddlePaddle/PaddleHub
-
[R] ERNIE-ViLG, a state-of-the-art text-to-image model that generates images from Chinese text
Was someone able to find out how big the model is and what hardware you need to run it? That info seems to be missing here.
- Baidu ERNIE-ViLG, output comparable to Stable Diffusion, better in anime
-
ERNIE-ViLG, a state-of-the-art text-to-image model that generates images from Chinese text
note this is an updated version, more info here (in chinese): https://github.com/PaddlePaddle/PaddleHub/tree/develop/modules/image/text_to_image/ernie_vilg
-
A text-to-image web app for ERNIE-ViLG is available, with output at 1024x1024 pixels. Example: "a beautiful chipmunk iceskating" (translated to Simplified Chinese by Google Translate). Links are in a comment.
GitHub repo.
-
[P] PaddleHub: An awesome and easy-to-use pre-trained models toolkit
code：https://github.com/PaddlePaddle/PaddleHub
deepdrive
-
Is it possible to train a self driving car on google colab?
I've been trying for a while now and I started thinking it may not be possible. If anyone has managed to train a self-driving car simulator using openai gym on google colab(preferably), or on any remote server (AWS, GCP, ...) please let me know. So far, I tried carla, airsim, svl, deepdrive and they are all equally useless unless run locally with a gui. I'd really appreciate if someone suggests some way that actually can make it possible.
What are some alternatives?
HDR-Multi-Tool - A graphical user interface for parsing HDR10+ and Dolby Vision
carla - Open-source simulator for autonomous driving research.
spleeter - Deezer source separation library including pretrained models.
simulator - A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles
allennlp - An open-source NLP research library, built on PyTorch.
AirSim - Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
stanford-tensorflow-tutorials - This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
tensorforce - Tensorforce: a TensorFlow library for applied reinforcement learning
tsdf-fusion-python - Python code to fuse multiple RGB-D images into a TSDF voxel volume.
simglucose - A Type-1 Diabetes simulator implemented in Python for Reinforcement Learning purpose