nhat_le (nhat-le01)

nhat-le01

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Company:University of Notre Dame

Location:Notre Dame, IN, USA

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nhat_le's starred repositories

tensorflow

Computation using data flow graphs for scalable machine learning

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CMU10-714

Learning material for CMU10-714: Deep Learning System

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ESRGAN

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

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SRCNN-pytorch

PyTorch implementation of Image Super-Resolution Using Deep Convolutional Networks (ECCV 2014)

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cs131_notes

Class notes for CS 131.

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tensorflow

An Open Source Machine Learning Framework for Everyone

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AMX-Guide

Advanced Matrix Extensions (AMX) Guide

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intel-extension-for-tensorflow

Intel® Extension for TensorFlow*

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teaching-where-to-look

Official Implementation of the ECCV 22 paper, "Teaching Where to Look: Attention Similarity Knowledge Distillation for Low Resolution Face Recognition".

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Face_Pytorch

face recognition algorithms in pytorch framework, including arcface, cosface, sphereface and so on

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Deep-Learning-in-Production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

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VDSR-PyTorch

PyTorch implements "Accurate Image Super-Resolution Using Very Deep Convolutional Networks"

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conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

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deepface-emd

Code for CVPR 2022 https://arxiv.org/abs/2112.04016 DeepFace-EMD Re-ranking Using Patch-wise Earth Movers Distance Improves Out-Of-Distribution Face Identification

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easy-fpn.pytorch

An easy implementation of FPN (https://arxiv.org/pdf/1612.03144.pdf) in PyTorch.

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deep-person-reid

Torchreid: Deep learning person re-identification in PyTorch.

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New-Grad-Positions

A collection of full time roles in SWE, Quant, and PM for new grads.

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visual-correspondence-XAI

Official code for NeurIPS 2022 paper https://arxiv.org/abs/2208.00780 Visual correspondence-based explanations improve AI robustness and human-AI team accuracy

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deepface

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

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Python_Computer_Vision_from_Scratch

This repository explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos.

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effectiveness-attribution-maps

Data for the NeurIPS 2021 paper [The effectiveness of feature attribution methods and its correlation with automatic evaluation scores] https://arxiv.org/abs/2105.14944

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Awesome-Deep-Neural-Network-Compression

Summary, Code for Deep Neural Network Quantization

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pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

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knowledge-distillation-pytorch

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

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deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

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awesome-deep-vision

A curated list of deep learning resources for computer vision

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annotated_deep_learning_paper_implementations

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

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Set-to-Set-Recognition

Use quality aware network for face recognition

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