tensorflow

tensorflow/tensorflow 17 Apr 2017

An Open Source Machine Learning Framework for Everyone

General Classification Image Classification +2

transformers

huggingface/transformers 5 Jan 2021

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Natural Language Inference Natural Language Processing +2

pytorch

pytorch/pytorch 28 Jun 2020

Tensors and Dynamic neural networks in Python with strong GPU acceleration

A ConvNet for the 2020s

keras-team/keras CVPR 2022

The "Roaring 20s" of visual recognition began with the introduction of Vision Transformers (ViTs), which quickly superseded ConvNets as the state-of-the-art image classification model.

Ranked #3 on Domain Generalization on ImageNet-Sketch (using extra training data)

Domain Generalization Image Classification +3

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

Adapting the Tesseract Open Source OCR Engine for Multilingual OCR

tesseract-ocr/tesseract ACM 2009

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

Optical Character Recognition

Code Sophistication: From Code Recommendation to Logic Recommendation

3b1b/manim 19 Jan 2022

In this paper, we consider the problem of detecting and recommending such missing behaviors, a task that we call code sophistication.

DeepFaceLab: Integrated, flexible and extensible face-swapping framework

deepfakes/faceswap 12 May 2020

Deepfake defense not only requires the research of detection but also requires the efforts of generation methods.

Face Swapping