stable-baselines3-contrib
TabNine
| stable-baselines3-contrib | TabNine | |
|---|---|---|
| 6 | 7 | |
| 434 | 10,443 | |
| 1.6% | 0.5% | |
| 6.3 | 2.7 | |
| 19 days ago | 23 days ago | |
| Python | Shell | |
| MIT License | MIT License |
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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.
stable-baselines3-contrib
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Problem with Truncated Quantile Critics (TQC) and n-step learning algorithm.
# https://github.com/Stable-Baselines-Team/stable-baselines3-contrib/blob/master/sb3_contrib/tqc/tqc.py :
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Understanding Action Masking in RLlib
Here's a theoretical overview and an implementation of action masking for PPO.
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PPO rollout buffer for turn-based two-player game with varying turn lengths
Simplified version of rollout collection (adapted from ppo_mask.py line 282):
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GitHub Copilot: your AI pair programmer
Transformers (GPT-3) aren't quite _supervised_, but it does require valid samples.
Agree 100% with RL being the path forward. You probably have already seen ( https://venturebeat.com/2021/06/09/deepmind-says-reinforceme... ). Personally I'm really stoked for this https://github.com/Stable-Baselines-Team/stable-baselines3-c... , which will make it a lot easier for rubes like me to use RL.
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[P] Stable-Baselines3 v1.0 - Reliable implementations of RL algorithms
But as we already have vanilla DQN and QR-DQN (in our contrib repo: https://github.com/Stable-Baselines-Team/stable-baselines3-contrib ) I think it is already a good start for off-policy discrete action algorithms. (QR-DQN is usually competitive vs DQN+extensions)
TabNine
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Tabnine ships new code-native AI models, passes 1 million developers using its AI code assistant
Other people complaining too: https://github.com/codota/TabNine/issues/179
- L'Italia è il primo paese dell'Unione Europea per percentuale di NEET (giovani che non studiano nè lavorano) - Cosa ne pensate?
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The Complete API Security Checklist
As applications grow in value to the end user so do they grow in complexity. Developers are pressured to increase productivity. Startups like Tabnine and Raycast have had impressive funding rounds recently, indicating how important developer productivity has become. With this pressure to perform, developers don't have the time to test each API connection for vulnerabilities or perform periodical penetration testing to ensure that new attack surfaces are not being introduced.
- GitHub Copilot Beta – My Experience
- GitHub Copilot: your AI pair programmer
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42 Companies using Rust in production
We also use rust to build Tabnine! (see https://tabnine.com)
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Tabnine links
Tabnine backend: https://github.com/codota/TabNine
What are some alternatives?
muzero-general - MuZero
copilot-cli - The AWS Copilot CLI is a tool for developers to build, release and operate production ready containerized applications on AWS App Runner or Amazon ECS on AWS Fargate.
stable-baselines3-c
Flowgorithm-macOS - Flowgorithm for Mac OS
githut - Github Language Statistics
rl-baselines3-zoo - A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
asciinema - Terminal session recorder 📹
dreamerv2 - Mastering Atari with Discrete World Models
pen.el - Pen.el stands for Prompt Engineering in emacs. It facilitates the creation, discovery and usage of prompts to language models. Pen supports OpenAI, EleutherAI, Aleph-Alpha, HuggingFace and others. It's the engine for the LookingGlass imaginary web browser.
robot-gym - RL applied to robotics.
AiDungeon2-Docker-ROCm - Runs an AIDungeon2 fork in Docker on AMD ROCm hardware.