Stars
Train a language model using subtitles from all the Harry Potter films.
MudrockNet is a deep learning SEM image segmentation model for mudrocks to identify pores and silt size grains, and is based on Google’s DeepLab-v3+ architecture implemented with TensorFlow.
We have used the new Hierarchical carbonate reservoir benchmarking case study created by Jorge Costa Gomes for reservoir characterization, uncertainty quantification & history matching.
Using synthetic datasets to train an end-to-end CNN for 3D fault segmentation (We are working on an improved version!)
A curated collection of public industrial datasets.
the results, code and the data for the Force 2020 Machine learning competition after the completion of the competition in October 2020.
Lithofacies prediction from well log data based on Deep learning
This is the implementation of the final project, "Multiple Objects Detection in Aerial Images," for the NTU 2022 Fall Digital Image Processing (DIP) course.
Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Deep Generative Models, University of Tehran, Dr.Tavassolipour
Materials for the Hugging Face Diffusion Models Course
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
Graph Neural Networks with Keras and Tensorflow 2.
This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
official implementation for the paper "Simplifying Graph Convolutional Networks"
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
The project aimed to explore and implement advanced RNN networks, including GRU and LSTM, using Keras and Python programming language. The dataset used for this project was the Iranian stock exchan…
Neural Computing and Deep Learning Course - Fall 2022
a collection of cv and resume styles