shahidash's repositories
around-dataengineering
A Data Engineering & Machine Learning Knowledge Hub
computer-science
:mortar_board: Path to a free self-taught education in Computer Science!
nn
š§ Minimal implementations of neural network architectures and layers in PyTorch with side-by-side notes
Multiple-Choice-Question-Generation-T5-and-Text2Text
Question Generation using Google T5 and Text2Text
PersianOCR
Simple word-level OCR program for the Persian language based on Recurrent Neural Networks using Pytorch and OpenCV
awesome-mlops
A curated list of references for MLOps
pytrends
Pseudo API for Google Trends
Interactive_Tools
Interactive Tools for Machine Learning, Deep Learning and Math
awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
scibert
A BERT model for scientific text.
car-damage-detection-using-CNN
Automated car damage detection using Instance Segmentation(Mask R-CNN)
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
bert-sklearn
a sklearn wrapper for Google's BERT model
bert-as-service
Mapping a variable-length sentence to a fixed-length vector using BERT model
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
StudyBook
Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)
awesome-data-engineering
A curated list of data engineering tools for software developers
DataEngineering
A curated list of data engineering tools for software developers and Techniques.
keras-bert
A simple technique to integrate BERT from tf hub to keras
swift-coreml-transformers
Swift Core ML 3 implementation of BERT for Question answering
deeplearning-models
A collection of various deep learning architectures, models, and tips
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
Repo-2017
Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano
gpt-2
Code for the paper "Language Models are Unsupervised Multitask Learners"
Recommenders
Recommender Systems
Plastic-Detection-Model
Image Recognition Model to detect plastics, glass, paper, rubbish, metal and cardboard. This is used to detect these pollution in the ocean to allow the eradication of these materials, helping marine life, fishermen, tourism and making the world resilient to climate change.
nlp_overview
Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)
camelot
Camelot: PDF Table Extraction for Humans