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100 numpy exercises
Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models
AutoGluon: AutoML Toolkit for Deep Learning
Training Deep Neural Networks with binary weights during propagations
Caffe: a fast open framework for deep learning.
Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
Dive into Deep Learning Compiler
《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
Practical Exercises in TensorFlow 2.0 for Ian Goodfellows Deep Learning Book
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现,项目已得到李沐老师的同意
Code for the book Deep Learning with PyTorch by Eli Stevens and Luca Antiga.
Yet another replication of ``Human-level control through deep reinforcement learning''.
Fast R-CNN
C++ implementation of LSTM (Long Short Term Memory), in Kaldi's nnet1 framework. Used for automatic speech recognition, possibly language modeling etc, the training can be switched between CPU and GPU(CUDA). This repo is now merged into official Kaldi codebase(Karel's setup), so this repo is no longer maintained, please check out the Kaldi project instead.
model compression based on pytorch (1、quantization: 8/4/2bits(dorefa)、ternary/binary value(twn/bnn/xnor-net);2、 pruning: normal、regular and group convolutional pruning;3、 group convolution structure;4、BN fusion for binary value of feature(A))
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet)
Deep Learning with PyTorch
Model summary in PyTorch similar to `model.summary()` in Keras
Track Advancement of SLAM 跟踪SLAM前沿动态【2020 version】
Using reinforcement learning to teach a car to avoid obstacles.
PyTorch implementation of our paper "Rethinking Layer-wise Feature Amounts in Convolutional Neural Network Architectures"
SPOS(Single Path One-Shot Neural Architecture Search with Uniform Sampling) rebuilt in Pytorch with single GPU.
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters
Super-Machine-Learning-Revision-Notes
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Debugging, monitoring and visualization for Python Machine Learning and Data Science
🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
My Blog.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.