Pinned Repositories
300Days__MachineLearningDeepLearning
I am sharing my Journey of 300DaysOfData in Machine Learning and Deep Learning.
90DaysOfDevOps
This repository is my documenting repository for learning the world of DevOps. I started this journey on the 1st January 2022 and I plan to run to March 31st for a complete 90-day romp on spending an hour a day including weekends to get a foundational knowledge across a lot of different areas that make up DevOps.
Accessing-and-modifying-different-layers-of-a-pretrained-model-in-pytorch
AI4D-iCompass-Social-Media-Sentiment-Analysis-for-Tunisian-Arabizi
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Data_Engineer_Assessment
Fine-Tuning-of-XLSR-Wav2Vec2-on-Arabic
GIZ-NLP-Agricultural-Keyword-Spotter-Competition
Instadeep-Competition
Runmila-AI-Institute-minoHealth-AI-Labs-Tuberculosis-Classification-via-X-Rays-Challenge
anashas's Repositories
anashas/Hands-on-One-Shot-Learning
This repository is for coding exercises listed in Book Hands on One Shot Learning.
anashas/awesome-computer-vision
A curated list of awesome computer vision resources
anashas/PyTorch-Computer-Vision-Cookbook
PyTorch Computer Vision Cookbook, Published by Packt
anashas/Pytorch-Audio-Emotion-Recognition
1st Place Public Leaderboard Solution for ERC2019
anashas/pytorch-nlp-notebooks
Learn how to use PyTorch to solve some common NLP problems with deep learning.
anashas/naacl_transfer_learning_tutorial
Repository of code for the tutorial on Transfer Learning in NLP held at NAACL 2019 in Minneapolis, MN, USA
anashas/audio_classification
Audio classification via transfer learning
anashas/numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
anashas/Cracking-The-Machine-Learning-Interview
Code snippets for our Book solutions
anashas/freesound-audio-tagging-2019
Freesound Audio Tagging 2019
anashas/Accessing-and-modifying-different-layers-of-a-pretrained-model-in-pytorch