Faizy's Projects
Traffic Sign Classification Using Deep Learning in Python/Keras
Training a CNN in Keras with a TensorFlow backend to solve Image Classification problems
Facial Expression Recognition with Keras!
The data we are going to use consists of 2D spectrograms of deep space radio signals collected by the Allen Telescope Array at the SETI Institute. We will treat the spectrograms as images to train an image classification model to classify the signals into one of four classes.
Understanding Deepfakes with Keras
Finetuning BERT in PyTorch for sentiment analysis.
Tumor Diagnosis: Exploratory Data Analysis With Seaborn
Data Analysis on COVID19 dataset, published by John Hopkins University
Detecting COVID-19 with Chest X-Ray using PyTorch from COVID-19 Radiography Dataset on Kaggle
we will use pre-trained NLP text embedding models from TensorFlow Hub, perform transfer learning to fine-tune models on real-world data, build and evaluate multiple models for text classification with TensorFlow, and visualize model performance metrics with Tensorboard.
Classification with Transfer Learning in Keras
In this project, we will train a Bidirectional Neural Network and LSTM based deep learning model to detect fake news from a given news corpus.
A collection of 300+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML)
This is the a Blogging Website created Using Flask
This Repo contains tools that allow us to import, clean, manipulate, and visualize data —Includes Python libraries, like pandas, NumPy, Matplotlib, and many more to work with real-world datasets to learn the statistical and machine learning techniques.
Coursera Machine Learning - Python code
After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.
Projects : DataScience, Artificial intelligence, Machine learning, Deep Learning
Comprehensive collection of Python implementations and explanations for essential data structures and algorithms
Deep learning is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
DeepLearning Repo.
Dive into LLM development! Learn cutting-edge techniques behind models like OpenAI's GPT-4, Meta's LLaMA 2, Mistral-7B, and Anthropic's Claude. Master PyTorch, build transformers, & fine-tune pre-trained LLMs from Hugging Face.
Deeplearning model to predict earthquake occurence based on realtime data
This repository contains a collection of hacks and tips for feature engineering. It is a great resource for anyone who wants to learn how to improve the performance of their machine learning models.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A library for transfer learning by reusing parts of TensorFlow models.
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