Ankit Bahuguna's repositories
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
coding-interviews
🎓 :octocat: Preparation resources for software and web technical interviews
gt-nlp-class
Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
interviews
Everything you need to know to get the job.
ML-From-Scratch
Bare bones Python implementations of some of the foundational Machine Learning models and algorithms.
MT-Reading-List
A machine translation reading list maintained by Tsinghua Natural Language Processing Group
Adventures-in-deep-learning
State-of-the-art Deep Learning publications, frameworks & resources
approachingalmost
Approaching (Almost) Any Machine Learning Problem
Cpp.Playground
:octocat: educational repo for storing my practice sessions with ASM, C and C++ as well as solutions to online courses I take relating to ASM, C, and C++ programming
distributed-tensorflow-example
An example of data parallelism and async updates of parameter in tensorflow.
How_to_make_a_text_summarizer
This is the code for "How to Make a Text Summarizer - Intro to Deep Learning #10" by Siraj Raval on Youtube
netankit.github.io
Github Blog
python-rocksdb
Python bindings for RocksDB
python_practice
Solutions to well known Algorithmic and Data Structures related problems in Python
rust-python-example
Example of using Rust to Extend Python
rust_experiments
Experiments with rustlang
unet_distributed
Distributed TensorFlow UNet