A guide that integrates Pytorch DistributedDataParallel, Apex, warmup, learning rate scheduler, also mentions the set-up of early-stopping and random seed.
AAAI 2021: Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels
Fashion Mnist image classification using cross entropy and Triplet loss
some scripts using deepchem
Implementation of early stopping in tensorflow based on any chosen metric
A collection of LightGBM callbacks. (DART early stopping, tqdm progress bar)
Features injected recurrent neural networks for short-term traffic speed prediction
Classify an activity by sensor data from gyroscope and accelerometer.
In this repository, I put into test my newly acquired Deep Learning skills in order to solve the Kaggle's famous Image Classification Problem, called "Dogs vs. Cats".
Project that detects the brand of a car, between 1 and 49 brands, that appears in a photograph, with a success rate of more than 70% (using a test file that has not been involved in the training as a valid or training file, "unseen data") and can be implemented on a personal computer
Image Similarity Analytics Web Service for Poster Copyright Protection
The objective of this repository is to provide a learning and experimentation environment to better understand the details and fundamental concepts of neural networks by building neural networks from scratch.
SPECTRA: Solar Panel Evaluation through Computer Vision and Advanced Techniques for Reliable Analysis
A basic introduction to learning CNN through applications of VGG models.
Practical use of basic tool for machine learning using PyTorch lib
A box of tools that deal with numbers.
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