TensorRT examples (Jetson, Python/C++)(object detection)

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Nobuo Tsukamoto
Nobuo Tsukamoto
(NeurIPS '21 Spotlight) IQ-Learn: Inverse Q-Learning for Imitation

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PyTorch implementation of normalizing flow models

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A Genetic Programming platform for Python with TensorFlow for wicked-fast CPU and GPU support.

Karoo GP Karoo GP is an evolutionary algorithm, a genetic programming application suite written in Python which supports both symbolic regression and

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Minimal implementation and experiments of "No-Transaction Band Network: A Neural Network Architecture for Efficient Deep Hedging".

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Self-supervised learning algorithms provide a way to train Deep Neural Networks in an unsupervised way using contrastive losses

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Repo for FUZE project. I will also publish some Linux kernel LPE exploits for various real world kernel vulnerabilities here. the samples are uploaded for education purposes for red and blue teams.

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Wei Wu 472 Dec 21, 2022
CN24 is a complete semantic segmentation framework using fully convolutional networks

Build status: master (production branch): develop (development branch): Welcome to the CN24 GitHub repository! CN24 is a complete semantic segmentatio

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High-Resolution Image Synthesis with Latent Diffusion Models

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I explore rock vs. mine prediction using a SONAR dataset

I explore rock vs. mine prediction using a SONAR dataset. Using a Logistic Regression Model for my prediction algorithm, I intend on predicting what an object is based on supervised learning.

Jeff Shen 1 Jan 11, 2022
6D Grasping Policy for Point Clouds

GA-DDPG [website, paper] Installation git clone https://github.com/liruiw/GA-DDPG.git --recursive Setup: Ubuntu 16.04 or above, CUDA 10.0 or above, py

Lirui Wang 48 Dec 21, 2022
This repository contains tutorials for the py4DSTEM Python package

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11 Dec 23, 2022
An integration of several popular automatic augmentation methods, including OHL (Online Hyper-Parameter Learning for Auto-Augmentation Strategy) and AWS (Improving Auto Augment via Augmentation Wise Weight Sharing) by Sensetime Research.

An integration of several popular automatic augmentation methods, including OHL (Online Hyper-Parameter Learning for Auto-Augmentation Strategy) and AWS (Improving Auto Augment via Augmentation Wise

45 Dec 08, 2022
Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021

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[ECCV 2020] Reimplementation of 3DDFAv2, including face mesh, head pose, landmarks, and more.

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What can linearized neural networks actually say about generalization?

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General Assembly Capstone: NBA Game Predictor

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Adam Muhammad Klesc 1 Jan 14, 2022
Pre-trained models for a Cascaded-FCN in caffe and tensorflow that segments

Cascaded-FCN This repository contains the pre-trained models for a Cascaded-FCN in caffe and tensorflow that segments the liver and its lesions out of

300 Nov 22, 2022
Official implementation for “Unsupervised Low-Light Image Enhancement via Histogram Equalization Prior”

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FengZhang 34 Dec 04, 2022
Aalto-cs-msc-theses - Listing of M.Sc. Theses of the Department of Computer Science at Aalto University

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A repository for the paper "Improved Adversarial Systems for 3D Object Generation and Reconstruction".

Improved Adversarial Systems for 3D Object Generation and Reconstruction: This is a repository for the paper "Improved Adversarial Systems for 3D Obje

Edward Smith 188 Dec 25, 2022