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3d-machine-learning

A resource repository for 3D machine learning

ac_repo

My python work

ai_curriculum

Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.

amazon-coding-interview-question---k-closest-points-to-the-origin

Easiest solution to get k closest points to the origin

ambient-gan

Code to reproduce results from the paper "AmbientGAN: Generative models from lossy measurements"

ambientgan_tf

awesome-artificial-intelligence-guidelines

This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.

awesome-data-engineering

A curated list of data engineering tools for software developers

awesome-graph-embedding

Awesome Graph Embedding Techinques

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-network-embedding

A curated list of network embedding techniques.

awesome-project-ideas

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

c-dcgan

We use Conditional-DCGAN to generate animated faces :couple: and emojis :smiley: using pytorch

codeinginterview

practice for interview in Amazon

cracking-the-coding-interview-in-python

Python Solutions for CTCI

crackingthecodinginterview

Python solutions for problems in the book

cs329s-ml-deployment-tutorial

Code and files to go along with CS329s machine learning model deployment tutorial.

ctci-solutions

Python solutions to Cracking the Coding Interview (6th edition)

data-science--cheat-sheet

Cheat Sheets

data-science-interviews

Data science interview questions and answers

dcgan.torch

A torch implementation of http://arxiv.org/abs/1511.06434

deep-learning-on-graphs

deeplearningwork

Code scripts written for MOOCs, pet projects, and work

detectpneumoconiosis

Work to create analytic program for Healthcare business, to detect Pneumoconiosis from chest xrays

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dna-sequence-classification

Training Data consists of 10,000 individuals with DNA sequences of length 200 bp. These need to be classified into 4 classes. I've mapped the characters in the sequences to values between 0 and 1, then converted each sequence to a gray scale image. This now becomes an image classification task, solved in PyTorch.

dsf_depop_2020