Assemble mp4 video from list of images
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Updated
May 31, 2024 - Python
Assemble mp4 video from list of images
Comfortable parallel TQDM using concurrent.futures
Tool that enables you to fetch, clean, prepare, label, and upload articles from web sources in various formats such as csv, json, xlsx, and parquet
S7-S8 Main Project: Concatenation of Attention Enhanced Spatial and Temporal Features for Violence Detection from Videos
A simple progress bar for C++11 and higher standards.
A collection of LightGBM callbacks. (DART early stopping, tqdm progress bar)
Practice fine-tuning a pre-trained Transformers model from Hugging Face
Python utility for fetching any historical data using caching. Suitable for news, posts, weather, etc.
If you want a progress bar when downloading files in your python app, this is the library for you.
This project is an approach to the development of plant disease recognition model, based on leaf image classification, by the use of deep convolutional networks. The developed model is able to recognize 38 different types of plant diseases out of of 14 different plants with the ability to distinguish plant leaves from their surroundings.
This Python project utilizes PyTorch to perform text classification with an attention mechanism. Pre-trained GloVe embeddings are processed for word representation, and a custom attention model is trained on consumer complaint data to categorize complaints into product categories.🎯
A custom-built Vision Transformer (ViT) for Terrain Recognition.
stqdm is the simplest way to handle a progress bar in streamlit app.
인프런 - 증권 데이터 수집과 분석으로 신호와 소음 찾기
A cost estimator for OpenAI API calls in tqdm loops.
Efficient Python-based geocoding tool with local Nominatim server support, caching, and progress tracking for large datasets.
Analysis of Emirates customer reviews
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