LeetCode Solutions https://t.me/tenvlad

Last update: Dec 29, 2022

Overview

leetcode

LeetCode Solutions groupped by common patterns

YouTube: https://www.youtube.com/c/vladten

Telegram: https://t.me/nilinterface

Problems source: https://seanprashad.com/leetcode-patterns/

Owner

Vlad Ten

1010

GitHub Repository

These are the materials for the paper "Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations"

Few-shot-NLEs These are the materials for the paper "Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations". You can find the smal

0 Oct 21, 2022

High level network definitions with pre-trained weights in TensorFlow

TensorNets High level network definitions with pre-trained weights in TensorFlow (tested with 2.1.0 = TF = 1.4.0). Guiding principles Applicability.

1k Dec 13, 2022

Space Ship Simulator using python

FlyOver Basic space-ship simulator using python How to run? Just double click run.py What modules do i need? All modules that i currently using is bui

0 Oct 09, 2022

SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning

SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning This repository is the official implementation of "SHRIMP: Sparser Random Featur

0 Dec 16, 2021

PyTorch implementation for 3D human pose estimation

Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approach This repository is the PyTorch implementation for the network presented in:

579 Dec 22, 2022

Implementation of "Semi-supervised Domain Adaptive Structure Learning"

Semi-supervised Domain Adaptive Structure Learning - ASDA This repo contains the source code and dataset for our ASDA paper. Illustration of the propo

3 Dec 13, 2021

Benchmarks for Object Detection in Aerial Images

691 Dec 30, 2022

🧠 A PyTorch implementation of 'Deep CORAL: Correlation Alignment for Deep Domain Adaptation.', ECCV 2016

Deep CORAL A PyTorch implementation of 'Deep CORAL: Correlation Alignment for Deep Domain Adaptation. B Sun, K Saenko, ECCV 2016' Deep CORAL can learn

200 Dec 25, 2022

Beginner-friendly repository for Hacktober Fest 2021. Start your contribution to open source through baby steps. 💜

Hacktober Fest 2021 🎉 Open source is changing the world – one contribution at a time! 🎉 This repository is made for beginners who are unfamiliar wit

32 Dec 11, 2022

Official PyTorch implementation of the paper "Graph-based Generative Face Anonymisation with Pose Preservation" in ICIAP 2021

Contents AnonyGAN Installation Dataset Preparation Generating Images Using Pretrained Model Train and Test New Models Evaluation Acknowledgments Citat

10 May 24, 2022

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing.

Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning Overview This code is for paper: Not All Unlabeled Data are Equa

22 Nov 23, 2022

LeetCode Solutions https://t.me/tenvlad

Related tags

Overview

leetcode

Owner

Vlad Ten

These are the materials for the paper "Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations"

High level network definitions with pre-trained weights in TensorFlow

Space Ship Simulator using python

SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning

PyTorch implementation for 3D human pose estimation

Implementation of "Semi-supervised Domain Adaptive Structure Learning"

Benchmarks for Object Detection in Aerial Images

🧠 A PyTorch implementation of 'Deep CORAL: Correlation Alignment for Deep Domain Adaptation.', ECCV 2016

Beginner-friendly repository for Hacktober Fest 2021. Start your contribution to open source through baby steps. 💜

Official PyTorch implementation of the paper "Graph-based Generative Face Anonymisation with Pose Preservation" in ICIAP 2021

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing.

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

A Transformer-Based Feature Segmentation and Region Alignment Method For UAV-View Geo-Localization

2nd solution of ICDAR 2021 Competition on Scientific Literature Parsing, Task B.

Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.

Reverse engineer your pytorch vision models, in style

Python implementation of Bayesian optimization over permutation spaces.

A fuzzing framework for SMT solvers

PyElecCL - Electron Monte Carlo Second Checks

Adversarial Color Enhancement: Generating Unrestricted Adversarial Images by Optimizing a Color Filter

LeetCode Solutions https://t.me/tenvlad

Related tags

Overview

leetcode

Owner

Vlad Ten

These are the materials for the paper "Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations"

High level network definitions with pre-trained weights in TensorFlow

Space Ship Simulator using python

SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning

PyTorch implementation for 3D human pose estimation

Implementation of "Semi-supervised Domain Adaptive Structure Learning"

Benchmarks for Object Detection in Aerial Images

🧠 A PyTorch implementation of 'Deep CORAL: Correlation Alignment for Deep Domain Adaptation.', ECCV 2016

Beginner-friendly repository for Hacktober Fest 2021. Start your contribution to open source through baby steps. 💜

Official PyTorch implementation of the paper "Graph-based Generative Face Anonymisation with Pose Preservation" in ICIAP 2021

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren*, Raymond A. Yeh*, Alexander G. Schwing.

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

A Transformer-Based Feature Segmentation and Region Alignment Method For UAV-View Geo-Localization

2nd solution of ICDAR 2021 Competition on Scientific Literature Parsing, Task B.

Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.

Reverse engineer your pytorch vision models, in style

Python implementation of Bayesian optimization over permutation spaces.

A fuzzing framework for SMT solvers

PyElecCL - Electron Monte Carlo Second Checks

Adversarial Color Enhancement: Generating Unrestricted Adversarial Images by Optimizing a Color Filter

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing.