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Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Deep universal probabilistic programming with Python and PyTorch
Materials of the Nordic Probabilistic AI School 2023.
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
A curated list of amazingly awesome Cybersecurity datasets
A library for efficient similarity search and clustering of dense vectors.
Lingtrain Aligner — ML powered library for the accurate texts alignment.
Over 200 figures and diagrams of the most popular deep learning architectures and layers FREE TO USE in your blog posts, slides, presentations, or papers.
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
http://nlp.seas.harvard.edu/2018/04/03/attention.html
A library of reinforcement learning components and agents
A course in reinforcement learning in the wild
The website for the CMU Language Technologies Institute low resource NLP bootcamp 2020
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Papers & presentation materials from Hugging Face's internal science day
"Deep Learning in Natural Language Processing" - a course by DeepPavlov built on top of Stanford's cs224n
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
A crash course in six episodes for software developers who want to become machine learning practitioners.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
A general-purpose encoder-decoder framework for Tensorflow
Neural machine translation and sequence learning using TensorFlow
ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP
Machine learning algorithms implementation in python with references, and with sketchy explanations.