Name: Salem
Type: User
Company: University of Salford
Bio: I am an hourly paid lecturer. My main areas of research are machine learning, deep learning, multi-armed bandit, image mining and time series forecasting.
Location: Uk
Blog: https://www.linkedin.com/in/salem-ameen-5b4b7721/
Salem's Projects
deeplearning.ai Tensorflow advance techniques specialization
Layerwise Relevance Propagation with Deep Taylor Series in TensorFlow
TensorLayer: A Deep Learning and Reinforcement Learning Library for Researchers and Engineers.
MAB
Hypothesis
16 Text Preprocessing Techniques in Python for Twitter Sentiment Analysis.
Training autoencoders to reconstruct text to generate valuable summarizations of sentences or paragraphs
Adversarial networks in TensorFlow
A WebGL accelerated JavaScript library for training and deploying ML models.
MAB
MAB
Text and supporting code for Think Stats, 2nd Edition
iTorch notebooks
BME
Autograd automatically differentiates native Torch code. Ported to Lua from the original Python version.
A pytorch pruning toolkit for neural network pruning and layer dependency maintaining.
Efficient, reusable RNNs and LSTMs for torch
A collection of snippets and libraries for Torch from e-Lab
visualizing what ConvNets learn with camera
State Of The Art deep neural network models
Demonstrations shown during my lectures in TPG4155 - Applied Computer Methods in Petroleum Science at NTNU
A fast, extensible progress bar for Python and CLI
Traffic Control System using fuzzy logic
The purpose of this project is to address the design and implementation of an intelligent traffic light system based on fuzzy logic technology using Python.
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Tree-structured Long Short-Term Memory networks (http://arxiv.org/abs/1503.00075)
A pure Lua-based, lightweight REPL for Torch.
Automatic extraction of relevant features from time series: