Then we can try to set different hyper parameters to train the yolov5 model. Larger models like YOLOv5x and YOLOv5x6 will produce better results in nearly all cases, but have more parameters, require more CUDA memory to train, and are slower to run. For mobile deployments, YOLOv5s/m is...
The Titanic challenge hosted by Kaggle is a competition in which the goal is to predict the survival or the death of a given passenger based on a set of variables describing him such as his age, his sex, or his passenger class on the boat. I have been playing with the Titanic dataset...
Aashi DuttGoogle Developers Expert in ML | Speaker | Kaggle 3x Expert How to Set Up and Run DeepSeek R1 Locally With Ollama How to Run Llama 3 Locally With Ollama and GPT4ALL Local AI with Docker, n8n, Qdrant, and Ollama Llama 3.2 and Gradio Tutorial: Build a Multimodal Web App ...
The Time feature and PCA components (V1 to V28) will be excluded for simplicity, but they can be explored later to enhance the model. I run a test with these later, and you'll be able to see why I decided to exclude them for our simple implementation. Target variable: The Class colu...
Fill the Nan values in the ‘runtime’ column with the median value. combined['runtime'].fillna(combined['runtime'].median(), inplace=True) Create a new column with the number of spoken languages for each movie with the code-line: ...
Why Run Llama 3 Locally? Running Llama 3 locally might seem daunting due to the high RAM, GPU, and processing power requirements. However, advancements in frameworks and model optimization have made this more accessible than ever. Here’s why you should consider it: Uninterrupted access: You wo...
First run fare_amount through the function to return a series of the outliers. outliers = find_outliers_IQR(df[“fare_amount”]) print(“number of outliers: “+ str(len(outliers))) print(“max outlier value: “+ str(outliers.max())) ...
1. Create a folder in your Google Drive 2. Create a Colaboratory file 3. Name your file, but make sure to keep the .ipynb — this is for iPython 4. Use GPU vs. CPU by going to: Edit > Notebook settings or Runtime>Change runtime type and select GPU as Hardware accelerator. ...
Did you run pip install -e .? You can try debugging your code to ensure your changes are activated. Author aakashthapa22 commented Jun 16, 2024 @leonnil It works after running pip install -e . I was working on kaggle and it did not work, but when I switch to PC it is working....
because when the person tried to again run the model, the new random numbers resulted in a worse model. If that person had used a known seed, the model would have generated the same random numbers as in the winning model. In the end someone else won the money. So always use a known...