tensorflow/tensorflow 17 Apr 2017

An Open Source Machine Learning Framework for Everyone

General Classification Image Classification +1


tensorflow/models 3 Apr 2020

Models and examples built with TensorFlow

Image Retrieval Landmark Recognition +1

PyTorch Distributed: Experiences on Accelerating Data Parallel Training

pytorch/pytorch 28 Jun 2020

This paper presents the design, implementation, and evaluation of the PyTorch distributed data parallel module.

PyTorch: An Imperative Style, High-Performance Deep Learning Library

pytorch/pytorch NeurIPS 2019

Deep learning frameworks have often focused on either usability or speed, but not both.

Automatic Differentiation in PyTorch

pytorch/pytorch NIPS 2017 2017

In this article, we describe an automatic differentiation module of PyTorch — a library designed to enable rapid research on machine learning models.

Dimensionality Reduction General Classification

Robust Reading Comprehension with Linguistic Constraints via Posterior Regularization

huggingface/pytorch-pretrained-BERT 16 Nov 2019

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.

Machine Reading Comprehension


huggingface/transformers 23 Oct 2020

🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.

Natural Language Understanding Self-Supervised Learning +2

DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation

huggingface/pytorch-transformers 1 Nov 2019

We present a large, tunable neural conversational response generation model, DialoGPT (dialogue generative pre-trained transformer).

Conversational Response Generation

SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives

scikit-learn/scikit-learn NeurIPS 2014

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/scikit-learn 2 Jan 2012

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.

Dimensionality Reduction General Classification +1