【整理】AI 机器学习 学习资料

• FastText
• Library for fast text representation and classification
• https://github.com/facebookresearch/fastText
• Deep Photo Style Transfer
• Code and data for paper “Deep Photo Style Transfer”
• https://github.com/luanfujun/deep-photo-styletransfer
• facial recognition
• The world’s simplest facial recognition api for Python and the command line
• https://github.com/ageitgey/face_recognition
• Magenta：
• Music and Art Generation with Machine Intelligence
• https://github.com/tensorflow/magenta
• Sonnet
• TensorFlow-based neural network library
• https://github.com/deepmind/sonnet
• deeplearn.js
• A hardware-accelerated machine intelligence library for the web
• https://github.com/PAIR-code/deeplearnjs
• fast-style-transfer
• TensorFlow CNN for fast style transfer
• https://github.com/lengstrom/fast-style-transfer
• Pysc2
• StarCraft II Learning Environment
• https://github.com/deepmind/pysc2
• AirSim
• Open source simulator based on Unreal Engine for autonomous vehicles from Microsoft AI & Research
• https://github.com/Microsoft/AirSim
• Facets
• Visualizations for machine learning datasets
• https://github.com/PAIR-code/facets
• Style2Paints
• AI colorization of images
• https://github.com/lllyasviel/style2paints
• Tensor2Tensor
• A library for generalized sequence to sequence models
• https://github.com/tensorflow/tensor2tensor
• pytorch-CycleGAN-and-pix2pix
• Image-to-image translation in PyTorch
• https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix
• Faiss
• A library for efficient similarity search and clustering of dense vectors
• Fashion-mnist
• A MNIST-like fashion product database
• ParlAI
• A framework for training and evaluating AI models on a variety of openly available dialog datasets
• Fairseq
• Facebook AI Research Sequence-to-Sequence Toolkit
• Pyro
• Deep universal probabilistic programming with Python and PyTorch
• iGAN
• Interactive Image Generation powered by GAN
• Deep-image-prior
• Image restoration with neural networks but without learning
• Face_classification
• Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV

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