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A curated list of awesome Deep Learning (DL) for Natural Language Processing (NLP) resources
📖 A curated list of resources dedicated to Natural Language Processing (NLP)
Information Retrieval algorithms developed in python. To follow the blog posts, click on the link:
Kaggle Quora Duplicate Questions #79
This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera
IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by J. Nathan Kutz and Steven L. Brunton
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
macOS development environment setup: Easy-to-understand instructions with automated setup scripts for developer tools like Vim, Sublime Text, Bash, iTerm, Python data analysis, Spark, Hadoop MapRed…
interactive visualization of 5 popular gradient descent methods with step-by-step illustration and hyperparameter tuning UI
Introduction to Jupyter Notebook
A collection of algorithms and data structures
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer(第 2 版)》、《程序员面试金典(第 6 版)》题解
All Algorithms implemented in Python
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.
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
Repository for the book Grokking Machine Learning, by Manning Editors
Super Repository for Coding Interview Preperation
💯 Curated coding interview preparation materials for busy software engineers
Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018
Up-to-date version of labs for ISLP
Curated list of project-based tutorials
LLM-PowerHouse: Unleash LLMs' potential through curated tutorials, best practices, and ready-to-use code for custom training and inferencing.
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.