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A Bulletproof Way to Generate Structured JSON from Language Models
Codeless drop-in universal library allows to prevent issues of keyboard sliding up and cover UITextField/UITextView. Neither need to write any code nor any setup required and much more.
Better, faster, peering over yonder. Improved large scale object detection in aerial/satellite imagery.
Techniques for deep learning with satellite & aerial imagery
Multi Model Server is a tool for serving neural net models for inference
Better filtering for Django REST Framework
Image augmentation for machine learning experiments.
A library for efficient similarity search and clustering of dense vectors.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Image Inpainting via Generative Multi-column Convolutional Neural Networks, NeurIPS2018
[CVPR2019]Occlusion-Net: 2D/3D Occluded Keypoint Localization Using Graph Networks
Models and examples built with TensorFlow
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
Python interface to the WebRTC Voice Activity Detector
A multi-channel neural network audio classifier using Keras
🎶 dead simple audio classification
Cloud Robotics Core: Kubernetes, Federation, App Management
All Algorithms implemented in Python
Fully-Convolutional Point Networks for Large-Scale Point Clouds
A technical report on convolution arithmetic in the context of deep learning
RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Syst…
Visualization techniques for the latent space of a convolutional autoencoder in Keras
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header only, dependency-free deep learning framework in C++14
Caffe2 is a lightweight, modular, and scalable deep learning framework.
Automatically registers (aligns) and visualizes point clouds, or processes a whole bunch at once
A neural network for end-to-end speech denoising
TensorFlow Implementation of "Show, Attend and Tell"