Haodong Lu (haodonglu)

haodonglu

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Haodong Lu's repositories

approximate_random_variables

Demonstrations for approximate random variables.

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AutoKernel

AutoKernel 是一个简单易用,低门槛的自动算子优化工具,提高深度学习算法部署效率。

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conv_arithmetic

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

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cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

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darknet

Convolutional Neural Networks

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Deep-Residual-Shrinkage-Networks

The deep residual shrinkage network is a variant of deep residual networks.

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DeepLearningTutorials

Deep Learning与PyTorch入门实战视频教程

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DRL

Deep Reinforcement Learning

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ds-cheatsheets

List of Data Science Cheatsheets to rule the world

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examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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git_test

learn git and github

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gloo

Collective communications library with various primitives for multi-machine training.

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glow

Compiler for Neural Network hardware accelerators

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happysublime

sublime text tutorial with happypeter

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Imagenet32_Scripts

Scripts for Imagenet 32 dataset

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neural-compressor

Intel® Neural Compressor (formerly known as Intel® Low Precision Optimization Tool), targeting to provide unified APIs for network compression technologies, such as low precision quantization, sparsity, pruning, knowledge distillation, across different deep learning frameworks to pursue optimal inference performance.

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onnx

Open standard for machine learning interoperability

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playground-qyb0vqjh

Tech.io playground

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psutil

Cross-platform lib for process and system monitoring in Python

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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pytorch-parallel

Optimize an example model with Python, CPP, and CUDA extensions and Ring-Allreduce.

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Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

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Tengine

Tengine is a lite, high performance, modular inference engine for embedded device

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visdom

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

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yolo-tensorrt

TensorRT8.Support Yolov5s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.

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yolov3

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

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