This project contains our work that deploy on camera OAK1
something here $ pip install -r requirements.txt
python main.py --pro_t<probability threshold> --corr_t<correlation threshold>
398,427,445,495,549,564336tinykernel - A minimal Python kernel so you can run Python in your Python
DeepAL: Deep Active Learning in Python Python implementations of the following active learning algorithms: Random Sampling Least Confidence [1] Margin
A simple API for working with University of California, Irvine (UCI) Machine Learning (ML) repository Table of Contents Introduction About Page of the
Vector Quantized Diffusion Model for Text-to-Image Synthesis Due to company policy, I have to set microsoft/VQ-Diffusion to private for now, so I prov
ddz-ai 介绍 斗地主是一种扑克游戏。游戏最少由3个玩家进行，用一副54张牌（连鬼牌），其中一方为地主，其余两家为另一方，双方对战，先出完牌的一方获胜。 ddz-ai以孤立语假设和宽度优先搜索为基础，构建了一种多通道堆叠注意力Transformer结构的系统，使其经过大量训练后，能在实际游戏中获
TensorFlow implementation of "A Simple Baseline for Bayesian Uncertainty in Deep Learning"
TimeCycle Code for Learning Correspondence from the Cycle-consistency of Time (CVPR 2019, Oral). The code is developed based on the PyTorch framework,
Gretel Trainer This code is designed to help users successfully train synthetic models on complex datasets with high row and column counts. The code w
Speech Super-resolution Evaluation and Benchmarking What this repo do: A toolbox for the evaluation of speech super-resolution algorithms. Unify the e
HandFoldingNet ✌️ : A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton Wencan Cheng, Jae Hyun Park, Jong
nsff_pl Neural Scene Flow Fields using pytorch-lightning. This repo reimplements the NSFF idea, but modifies several operations based on observation o
Bagua is a flexible and performant distributed training algorithm development framework.
DeepRec Introduction DeepRec is a recommendation engine based on TensorFlow 1.15, Intel-TensorFlow and NVIDIA-TensorFlow. Background Sparse model is a
Query Embedding on Hyper-Relational Knowledge Graphs This repository contains the code used for the experiments in the paper Query Embedding on Hyper-
Improving traffic sign recognition by active search This repo contains code for the paper : "Learning to recognise rare traffic signs" How to use this
annotated-types PEP-593 added typing.Annotated as a way of adding context-specific metadata to existing types, and specifies that Annotated[T, x] shou
LAVT: Language-Aware Vision Transformer for Referring Image Segmentation Where we are ? 12.27 目前和原论文仍有1%左右得差距，但已经力压很多SOTA了 ckpt__448_epoch_25.pth mIoU
Sylvester normalizing flows for variational inference Pytorch implementation of Sylvester normalizing flows, based on our paper: Sylvester normalizing
PolyGlot, a fuzzing framework for language processors Build We tested PolyGlot on Ubuntu 18.04. Get the source code: git clone https://github.com/s3te
AequeVox Replication Package for AequeVox:Automated Fariness Testing for Speech Recognition Systems README under development. Python Packages Required
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