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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
A curated list of awesome Machine Learning frameworks, libraries and software.
Clone a voice in 5 seconds to generate arbitrary speech in real-time
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Magenta: Music and Art Generation with Machine Intelligence
Jupyter metapackage for installation, docs and chat
A collection of simple python mini projects to enhance your python skills
Super Resolution for images using deep learning.
An open access book on scientific visualization using python and matplotlib
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
PyTorch implementations of deep reinforcement learning algorithms and environments
[Open Source]. The improved version of AnimeGAN. Landscape photos/videos to anime
SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild. Our new online demo is also released at suppixel.ai.
Functional programming in Python: implementation of missing features to enjoy FP
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
This is the Curriculum for "How to Learn Mathematics Fast" By Siraj Raval on Youtube
TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
an implementation of 3D Ken Burns Effect from a Single Image using PyTorch
DeepPrivacy: A Generative Adversarial Network for Face Anonymization
Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.
simple artificial intelligence utilities