Stars
Jupyter Notebooks and other material from tutorial sessions on Machine Learning, Data Science, and related
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
PyTorch implementations of Generative Adversarial Networks.
The fastai book, published as Jupyter Notebooks
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Distributed Asynchronous Hyperparameter Optimization in Python
PyTorch Tutorial for Deep Learning Researchers
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Aspires to help the influx of bioRxiv / medRxiv papers on COVID-19
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型
👁 Sightseer: TensorFlow library for state-of-the-art Computer Vision and Object Detection models
CleverCSV is a Python package for handling messy CSV files. It provides a drop-in replacement for the builtin CSV module with improved dialect detection, and comes with a handy command line applica…
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
Elasticsearch with BERT for advanced document search.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
A Pytorch Implementation of "Neural Speech Synthesis with Transformer Network"
Labs and demos for courses for GCP Training (https://cloud.google.com/training).
A fast way to turn your python function into a script
Tools to download and cleanup Common Crawl data
Dataset of GPT-2 outputs for research in detection, biases, and more
[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder
Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"