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🔴 Title:
Implementing Machine Learning Models for Stock Market Prediction
🔴 Aim:
To build and compare various machine learning models to predict stock prices and trends based on historical stock …
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Problem Description:
The model aims to address the real-time detection of eye blinks using facial landmarks. Eye blink detection is crucial in various applications, including driver drowsiness dete…
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Hello everyone,
I'm working on training a Yolo model for object detection and plan to use a Google Coral Dev Board for inference. As the Coral documentation recommends, the model should be in the T…
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I have been using the Mediapipe Holistic model from the February 2023 release in my web application. However, I recently came across a notice stating that, starting from March 2023, Mediapipe has tran…
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**System information**
- TensorFlow Python version: 2.17.
- TensorFlow Android versions:
```
implementation 'org.tensorflow:tensorflow-lite:2.16.1'
implementation 'org.tensorflow:tensorfl…
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# Overview
## Explain the topic in 2 sentences
IRS is enhanced to achieve scalability according to the required quantity model The objective is to modify the application architecture and infrastr…
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Lets say we have 4 threads, each thread has its id (0, 1, 2, 3). And we have and an iterator with known `opt_len`.
```rust
#![feature(thread_id_value)]
use rayon::prelude::*;
std::env…
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Currently, we manually configure LLMs, and associate the same LLM to the different nodes of a workflow.
Implementing automatic routing, for instance using [https://github.com/lm-sys/RouteLLM](https:/…
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Your `performance::check_outliers()` function does not allow you to check for influential observations in a logistic regression, the objective function of which is a factor, and there is not a sin…
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Hello, I am a master's student from China. Thank you for exposing the code. Now I want to do some more in-depth research based on your article and finish my dissertation. But I can't reproduce the r…