Mohammad Salman Haydar's repositories
Life-Insurance-Management-System
Life Insurance Management System
awesome-deep-vision
A curated list of deep learning resources for computer vision
awesome-vue
🎉 A curated list of awesome things related to Vue.js
bangla-programming-resources
Bangla tutorial, reference and resource list on programming topics
build-your-own-x
Master programming by recreating your favorite technologies from scratch.
Catalogue
CS Resources
chatbot
A multilingual Chatbot that supports Bangla, Romanized bangla and English.
cs-video-courses
List of Computer Science courses with video lectures.
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Deep-Tutorials-for-PyTorch
In-depth tutorials for implementing deep learning models on your own with PyTorch.
duckling_old
Deprecated in favor of https://github.com/facebook/duckling
Grokking-the-Coding-Interview-Patterns-for-Coding-Questions
Grokking the Coding Interview: Patterns for Coding Questions Alternative
java-design-patterns
Design patterns implemented in Java
Machine-Learning-Study-Path-March-2019
A complete ML study path, focused on TensorFlow and Scikit-Learn
multilingual-nlu-engine
A multilingual NLU engine for chatbot. Which supports Bangla, Banglish and English.
nlp-notebooks
A collection of notebooks for Natural Language Processing from NLP Town
NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
SalmanHaydar.github.io
A personal Blog
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
text_summarizer
--*-- A simple text Summarizer implemented in python
textanalytics
It's a Text Analytics Project.
The-NLP-Pandect
A comprehensive reference for all topics related to Natural Language Processing
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.