Pinned Repositories
approximate_random_variables
Demonstrations for approximate random variables.
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。
conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
cs230-code-examples
Code examples in pyTorch and Tensorflow for CS230
darknet
Convolutional Neural Networks
Deep-Residual-Shrinkage-Networks
The deep residual shrinkage network is a variant of deep residual networks.
DeepLearningTutorials
Deep Learning与PyTorch入门实战视频教程
DRL
Deep Reinforcement Learning
ds-cheatsheets
List of Data Science Cheatsheets to rule the world
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
haodonglu's Repositories
haodonglu/approximate_random_variables
Demonstrations for approximate random variables.
haodonglu/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。
haodonglu/conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
haodonglu/cs230-code-examples
Code examples in pyTorch and Tensorflow for CS230
haodonglu/darknet
Convolutional Neural Networks
haodonglu/Deep-Residual-Shrinkage-Networks
The deep residual shrinkage network is a variant of deep residual networks.
haodonglu/DeepLearningTutorials
Deep Learning与PyTorch入门实战视频教程
haodonglu/DRL
Deep Reinforcement Learning
haodonglu/ds-cheatsheets
List of Data Science Cheatsheets to rule the world
haodonglu/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
haodonglu/GAN-DDQN
haodonglu/git_test
learn git and github
haodonglu/gloo
Collective communications library with various primitives for multi-machine training.
haodonglu/glow
Compiler for Neural Network hardware accelerators
haodonglu/happysublime
sublime text tutorial with happypeter
haodonglu/Imagenet32_Scripts
Scripts for Imagenet 32 dataset
haodonglu/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.
haodonglu/onnx
Open standard for machine learning interoperability
haodonglu/playground-qyb0vqjh
Tech.io playground
haodonglu/psutil
Cross-platform lib for process and system monitoring in Python
haodonglu/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
haodonglu/pytorch-distributed-example
haodonglu/pytorch-parallel
Optimize an example model with Python, CPP, and CUDA extensions and Ring-Allreduce.
haodonglu/pytorch_GPU_test
haodonglu/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
haodonglu/shiyanlou
haodonglu/Tengine
Tengine is a lite, high performance, modular inference engine for embedded device
haodonglu/visdom
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
haodonglu/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.
haodonglu/yolov3
YOLOv3 in PyTorch > ONNX > CoreML > TFLite