Anubhav Gautam's Projects
Files for the AIrbnb price prediction challenge
A collection of algorithms and data structures
Awesome CV is LaTeX template for your outstanding job application
A curated list of resources dedicated to scene text localization and recognition
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
A selection of useful books
Machine Learning Course
A collection of coding interview problems with my solutions. From various sources including Leet-Code, Interview experiences etc.
Teaching materials for the probabilistic graphical models and deep learning classes at Stanford
Cracking the Coding Interview 6th Ed. Solutions
Data Science Using Python
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, AWS, and various command lines.
Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
My solution to the book A Collection of Data Science Take-Home Challenges
Name based gender identification using NLTK
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.
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation
Complete solutions to Leetcode problems; updated daily. (I'm looking for long-term contributors/partners to this repo! Send me PRs if you're interested! - 9/5/2018)
This research aims at simply deploying CNN(Convolutional Neural Network) on mobile devices, with low complexity and high speed.
A curated list of product management advice for technical people.
A neural net trained over a person's personal photo collection to do face detection
Deep universal probabilistic programming with Python and PyTorch
Python Data Science Handbook: full text in Jupyter Notebooks
Python-based implementation of the Selective Search for Object Recognition, back ported from Python 3 to Python 2.7
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.