Ankur Parmar's Projects
Disclaimer: This is the detailed notes for PadhAI onefourthlabs course āA First Course on Deep Learning".
An assistant to help you with the gym excersises
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Glorified About me!
Anomaly detection related books, papers, videos, and toolboxes
š Papers & articles of companies sharing their work on applied data science & machine learning.
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
A topic-centric list of HQ open datasets.
Readable implementation of a Capsule Network as described in "Dynamic Routing Between Capsules" [Hinton et. al.]
Classify Traffic Signs.
Benchmarks for popular CNN models
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Enigma(Coder/Decoder) Simulation, ~ World War Winner
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
A toolkit for developing and comparing reinforcement learning algorithms.
Replay memory Stratergies!
The Hitchhiker's Guide to Data Science for Social Good
Interactive Image Generation via Generative Adversarial Networks
In this Complete process in machine learning is discussed and done with pyspark .
A collection of openFrameworks apps for working with machine learning
Visualizations of machine learning algorithms
Synthesizing and manipulating 2048x1024 images with conditional GANs
A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.
pyPhi is a python package to perform multivariate analysis using PCA and PLS methods