tensorflow

27 Feb 2019tensorflow/tensorflow

An Open Source Machine Learning Framework for Everyone

models

ICWR 2020 tensorflow/models

Models and examples built with TensorFlow

COMMUNITY QUESTION ANSWERING

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.

DIMENSIONALITY REDUCTION

Scikit-learn: Machine Learning in Python

2 Jan 2012scikit-learn/scikit-learn

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 MODEL SELECTION

Adapting the Tesseract Open Source OCR Engine for Multilingual OCR

ACM 2009 tesseract-ocr/tesseract

We describe efforts to adapt the Tesseract open source OCR engine for multiple scripts and languages.

OPTICAL CHARACTER RECOGNITION TEST RESULTS

Robust Reading Comprehension with Linguistic Constraints via Posterior Regularization

16 Nov 2019huggingface/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.

MACHINE READING COMPREHENSION

transformers

10 Sep 2020huggingface/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

1 Nov 2019huggingface/pytorch-transformers

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

CONVERSATIONAL RESPONSE GENERATION

DeepFaceLab: A simple, flexible and extensible face swapping framework

12 May 2020deepfakes/faceswap

DeepFaceLab is an open-source deepfake system created by \textbf{iperov} for face swapping with more than 3, 000 forks and 13, 000 stars in Github: it provides an imperative and easy-to-use pipeline for people to use with no comprehensive understanding of deep learning framework or with model implementation required, while remains a flexible and loose coupling structure for people who need to strengthen their own pipeline with other features without writing complicated boilerplate code.

FACE SWAPPING

DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection

1 Jan 2020deepfakes/faceswap

The free access to large-scale public databases, together with the fast progress of deep learning techniques, in particular Generative Adversarial Networks, have led to the generation of very realistic fake content with its corresponding implications towards society in this era of fake news.

DEEPFAKE DETECTION FACE GENERATION FACE SWAPPING