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Tensorflow implementation of Gated Graph Neural Network for Source Code Classification
The author's officially unofficial PyTorch BigGAN implementation.
Generate embeddings from large-scale graph-structured data.
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
Facebook Low Resource (FLoRes) MT Benchmark
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
StellarGraph - Machine Learning on Graphs
Face landmarks(fiducial points) detection benchmark
Compare with various detectors - s3fd, dlib, ocv, ocv-dnn, mtcnn-pytorch, face_recognition
Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Dete…
Did you ever wish you could make scatter plots with cat shaped points? Now you can!
official implementation for the paper "Simplifying Graph Convolutional Networks"
Google Research
Unsupervised neural machine translation; weight sharing; GAN
DeepLab v3+ model in PyTorch. Support different backbones.
Hierarchy-based Image Embeddings for Semantic Image Retrieval
🤗 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.
Complex-YOLO: Real-time 3D Object Detection on Point Clouds pytorch Darknet
Code snippets created for the PyTorch discussion board
This repository contains the source code used to produce the results presented in the paper "Continuous-variable quantum neural networks". Due to subsequent interface upgrades, these scripts will …
Cornell NLVR and NLVR2 are natural language grounding datasets. Each example shows a visual input and a sentence describing it, and is annotated with the truth-value of the sentence.
An educational resource to help anyone learn deep reinforcement learning.
Pytorch Implementation of recent visual attribution methods for model interpretability
Pytorch implementation of convolutional neural network visualization techniques
Most popular metrics used to evaluate object detection algorithms.