Implementation of Restricted Boltzmann Machine (RBM) and its variants in Tensorflow

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Implementation of Restricted Boltzmann Machine (RBM) and its variants in Tensorflow

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Omid Alemi

A high-level Python library for Quantum Natural Language Processing

Decorators for maximizing memory utilization with PyTorch & CUDA

YOLTv5 rapidly detects objects in arbitrarily large aerial or satellite images that far exceed the ~600×600 pixel size typically ingested by deep learning object detection frameworks

网络协议2天集训

Implementation of "Glancing Transformer for Non-Autoregressive Neural Machine Translation"

Code from PropMix, accepted at BMVC'21

Neural Reprojection Error: Merging Feature Learning and Camera Pose Estimation

Pocsploit is a lightweight, flexible and novel open source poc verification framework

FAST Aiming at the problems of cumbersome steps and slow download speed of GNSS data

Using a Seq2Seq RNN architecture via TensorFlow to predict future Bitcoin prices

Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding

Learning Spatio-Temporal Transformer for Visual Tracking

Code artifacts for the submission "Mind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving Systems"

Compute execution plan: A DAG representation of work that you want to get done. Individual nodes of the DAG could be simple python or shell tasks or complex deeply nested parallel branches or embedded DAGs themselves.

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