Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

A scikit-learn compatible neural network library that wraps PyTorch

Google Research

Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

MS COCO API (fork with fix for Python3)

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

I decide to sync up this repo and self-critical.pytorch. (The old master is in old master branch for archive)

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

Tensorflow Faster RCNN for Object Detection

Code and Resources for the Transformer Encoder Reasoning and Alignment Network (TERAN), accepted for publication in ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Google's Natural Language Processing model with SOT result in various tasks

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

State-of-the-Art Text Embeddings

🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

A Keras TensorFlow 2.0 implementation of BERT, ALBERT and adapter-BERT.

Language-Agnostic SEntence Representations

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Implementation of triplet loss in TensorFlow

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

Code for the papers: Correlation Coefficients and Semantic Textual Similarity, NAACL-HLT 2019 & Correlations between Word Vector Sets, EMNLP-IJCNLP 2019.

Keras Attention Layer (Luong and Bahdanau scores).

This repo contains implementation of different architectures for emotion recognition in conversations.

Tesseract Open Source OCR Engine (main repository)

Text Classification Algorithms: A Survey

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

Visualizer for neural network, deep learning and machine learning models

Text classifier for Hierarchical Attention Networks for Document Classification

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.