Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
-
Updated
Dec 12, 2024 - Python
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
ResNet in tensorflow for CIFAR-100, CIFAR-10
A simple python program which copy any onion(DEEPNET or DARKNET)site code.
Implementation of Deep Neural Network from scratch without other librariees
Implementations of AutoEncoders, Deep Belief Networks in DL4J (Java)
This is a simple guide on how to use supervisley!!
Multipurpose modular deep learning neural network with opengl visualization
Google SVHN Prediction using Keras Tuned CNN model and Transfer Learning
The goal of this project is to design and train deep convolutional neural networks using PyTorch. I will design a deep net architecture to classify (small) images into 100 categories and evaluate the performance of the architecture by uploading the predictions to the Kaggle competition.
The primary objective of this project is to detect fraud in a financial system as efficient as possible using AI.
Add a description, image, and links to the deepnet topic page so that developers can more easily learn about it.
To associate your repository with the deepnet topic, visit your repo's landing page and select "manage topics."