cuongpv's repositories

500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

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AI-Expert-Roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2021

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al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

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awesome-model-quantization

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.

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bibtex-tidy

BibTeX Tidy - Cleaner and Formatter for BibTeX files

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BinaryBrain

Binary Neural Network Framework for FPGA(Differentiable LUT)

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bolt

Bolt is a deep learning library with high performance and heterogeneous flexibility.

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d2l-study-group

Deep Learning Study Group

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distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

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extreme_3d_faces

Extreme 3D Face Reconstruction: Looking Past Occlusions

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ffcv

FFCV: Fast Forward Computer Vision (and other ML workloads!)

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Hyperparameter-Optimization-of-Machine-Learning-Algorithms

On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice

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ICLR2021-OpenReviewData

Crawl & visualize ICLR papers and reviews.

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imagededup

😎 Finding duplicate images made easy!

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ImageNet-Datasets-Downloader

ImageNet dataset downloader. Creates a custom dataset by specifying the required number of classes and images in a class.

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KD_Lib

A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.

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Keras_insightface

Insightface Keras implementation

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label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

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lightning-hydra-template

Deep Learning project template best practices with Pytorch Lightning, Hydra, Tensorboard.

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ml-research

Codebase for machine learning research in PyTorch.

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nnq_cnd_study

nnq_cnd_study stands for Neural Network Quantization & Compact Networks Design Study

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Production-Level-Deep-Learning

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

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RobustQuantization

source code of the paper: Robust Quantization: One Model to Rule Them All

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superset

Apache Superset is a Data Visualization and Data Exploration Platform

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tensorrtx

Implementation of popular deep learning networks with TensorRT network definition API

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torch-cam

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

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virtual-environments

GitHub Actions virtual environments

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