From 76b9efd212ea224286d84af7e6277b4de2e6fc75 Mon Sep 17 00:00:00 2001 From: Stefano Date: Wed, 10 May 2023 21:47:12 +0200 Subject: [PATCH] add GUI to goals --- README.md | 1 + learning_diary/may.md | 2 +- 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 77f4b22..dcc949d 100644 --- a/README.md +++ b/README.md @@ -20,6 +20,7 @@ My personal (public) project to share tools and tips about Data Science and Pyth - [x] Simple Reinforcement Learning (or other online learning system) - [x] Q-Table - [x] Deep Q-Learning (Experience Replay) +- [ ] GUI basics (QT, ImGUI, ...) - [ ] Physical Simulation / Biological - [ ] Effective Data Visualizations (Seaborn) - [ ] One simple and effective tool to improve Computer Vision accuracy (No Flatten Information etc...) like [this](https://github.com/ansh941/MnistSimpleCNN) diff --git a/learning_diary/may.md b/learning_diary/may.md index 08a72ab..5f9a3d1 100644 --- a/learning_diary/may.md +++ b/learning_diary/may.md @@ -12,4 +12,4 @@ The above links refer to open-source models which usually need GPU to run properly in real-time. So, for a mid-budget laptop these models are too slow for real-time implementation (especially if ASR is not the only model that you want to run on the PC). -Most of the time, utilizing *online* API like Google Assistant, IBM, Amazon or Azure is the fastest and simplest way to implement a real-time ASR. However, it should be considered the fact that you need an Internet connection and a credit card to pay for the service. +Most of the time, utilizing *online* API like Google Assistant, IBM, Amazon or Azure is the fastest and simplest way to implement a real-time ASR. However, it should be considered the fact that you need an Internet connection and a credit card to pay for the service. \ No newline at end of file