Notes on Computer Graphics

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

Code for the paper "Language Models are Unsupervised Multitask Learners"

Models and examples built with TensorFlow

All Algorithms implemented in Python

镜像：https://scaffrey.coding.net/p/hosts/git / https://git.qvq.network/googlehosts/hosts

A Complete PyTorch 1.0 Implementation of Gated Graph Sequence Neural Networks (GGNN)

A pytroch reimplementation of "Bilinear Attention Network", "Intra- and Inter-modality Attention", "Learning Conditioned Graph Structures", "Learning to count object", "Bottom-up top-down" for Visu…

My blogs and code for machine learning. http://cnblogs.com/pinard

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Open Source Neural Machine Translation and (Large) Language Models in PyTorch

[ICLR 2018] Learning to Count Objects in Natural Images for Visual Question Answering

Pytorch implementation of winner from VQA Chllange Workshop in CVPR'17

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Code for Discriminability objective for training descriptive captions(CVPR 2018)

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

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

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

Research Framework for easy and efficient training of GANs based on Pytorch

Unofficial pytorch implementation for Self-critical Sequence Training for Image Captioning. and others.

An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.

Code for our paper: Learning Conditioned Graph Structures for Interpretable Visual Question Answering

An implementation of Probabilistic Soft Logic Engine using Python/Gurobi

Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)

[EMNLP 2017] Obj2Text: Generating Visually Descriptive Language from Object Layouts

Code for Neural Motifs: Scene Graph Parsing with Global Context (CVPR 2018)

Code for "Image Generation from Scene Graphs", Johnson et al, CVPR 2018

Build Graph Nets in Tensorflow