Top Papers
models
CVPR 2020
• tensorflow/models
• 
Models and examples built with TensorFlow
IMAGE CLASSIFICATION INSTANCE SEGMENTATION NEURAL ARCHITECTURE SEARCH REAL-TIME OBJECT DETECTION
PyTorch: An Imperative Style, High-Performance Deep Learning Library
NeurIPS 2019
• pytorch/pytorch
• 
Deep learning frameworks have often focused on either usability or speed, but not both.
Automatic Differentiation in PyTorch
NIPS 2017 2017
• pytorch/pytorch
•
In this article, we describe an automatic differentiation module of PyTorch — a library designed to enable rapid research on machine learning models.
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives
In this work we introduce a new optimisation method called SAGA in the spirit of SAG, SDCA, MISO and SVRG, a set of recently proposed incremental gradient algorithms with fast linear convergence rates.
Scikit-learn: Machine Learning in Python
Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems.
transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2. 0.
DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation
• huggingface/pytorch-transformers
•
We present a large, tunable neural conversational response generation model, DialoGPT (dialogue generative pre-trained transformer).
Robust Reading Comprehension with Linguistic Constraints via Posterior Regularization
• huggingface/pytorch-pretrained-BERT
•
In this paper, we address the over-confidence issue and the over-sensitivity issue existing in current RC models simultaneously with the help of external linguistic knowledge.
Adapting the Tesseract Open Source OCR Engine for Multilingual OCR
We describe efforts to adapt the Tesseract open source OCR engine for multiple scripts and languages.