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University of Waterloo
- Waterloo Ontario Canada
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NLP4Free - A Free Online Natural Language Processing Microcourse
Data Analysis Using Python: A Beginner’s Guide Featuring NYC Open Data.
This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practic…
A JIT compiler for hybrid quantum programs in PennyLane
The electronic structure package for quantum computers.
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
Interview Questions really asked in a Python Interview explained in detail with coding examples. Some additional topics which are important explained as well.
Cracking the Data Science Interview
Curated list of data science interview questions and answers
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
Workshops for 2020-2021 school year
🦋 Production grade chaining engine behind TuneChat. Self host today!
phycem / pennylane
Forked from PennyLaneAI/pennylanePennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
andy-ldai / k-bench
Forked from vmware-tanzu/k-benchWorkload Benchmark for Kubernetes
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
Data science interview questions and answers
Magenta: Music and Art Generation with Machine Intelligence
Deform meshes by reinforcement learning
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
Google Research
Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the came…
Middlesex University Dubai: MSc Data Science. Modelling, Regression and Machine Learning track. Instructor: Dr. Ivan Reznikov