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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
All Algorithms implemented in Python
Models and examples built with TensorFlow
A curated list of awesome Machine Learning frameworks, libraries and software.
scikit-learn: machine learning in Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
The fundamental package for scientific computing with Python.
Platform for building AI that can learn and answer questions over federated data.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Open standard for machine learning interoperability
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
pix2code: Generating Code from a Graphical User Interface Screenshot
Scan, index, and archive all of your paper documents
Typed interactions with the GitHub API v3
A data augmentations library for audio, image, text, and video.
Probabilistic time series modeling in Python
Run MapReduce jobs on Hadoop or Amazon Web Services
A library for training and deploying machine learning models on Amazon SageMaker
PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
Hi, I'm a library for interacting with GItHub's REST API in a convenient and ergonomic way. I work on Python 3.6+.
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
Collective Knowledge (CK) and Collective Minds (CM): community-driven projects to learn how to run AI, ML and other emerging workloads in a more efficient and cost-effective way across diverse mode…