This is a very incomplete and subjective selection of resources to learn about the algorithms
- Computer vision
- Natural Language Processing
- Neural Networks
- Reinforcement Learning
- OpenFace – Free and open source face recognition with deep neural networks.
- Face_recognition – Face recognition library that recognizes and manipulates faces from Python or from the command line
- Scikit-Image – A collection of algorithms for image processing in Python.
- PyTorchCV – A PyTorch-Based Framework for Deep Learning in Computer Vision
- Rasa – A « machine learning framework to automate text-and voice-based conversations. »
- DeepPavlov is an open-source conversational AI library built on TensorFlow, Keras and PyTorch.
- YAlign – A sentence aligner, a friendly tool for extracting parallel sentences from comparable corporation
- Sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search
Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow
- NeuralTalk - NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences
- nn_builder - nn_builder is a python package that lets you build neural networks in line