PaddleHub
deepdrive
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PaddleHub | deepdrive | |
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9 | 1 | |
12,447 | 871 | |
0.6% | 0.6% | |
1.9 | 0.0 | |
5 months ago | 6 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
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Where are all the multi-modal models?
China: All of the ERNIE 260B cross-modal stuff.
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[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.
deepdrive
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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?
carla - Open-source simulator for autonomous driving research.
HDR-Multi-Tool - A graphical user interface for parsing HDR10+ and Dolby Vision
simulator - A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles
AirSim - Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
spleeter - Deezer source separation library including pretrained models.
allennlp - An open-source NLP research library, built on PyTorch.
Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
tensorforce - Tensorforce: a TensorFlow library for applied reinforcement learning
stanford-tensorflow-tutorials - This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
simglucose - A Type-1 Diabetes simulator implemented in Python for Reinforcement Learning purpose
cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
dogfight-sandbox-hg2 - Air to air combat sandbox, created in Python 3 using the HARFANG 3D 2 framework.