situgongyuan Goto Github PK
Name: Situ Gongyuan
Type: User
Location: Shanghai China
Situ Gongyuan's Projects
amc
[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices.
amc-compressed-models
[ECCV 2018] Compressed models from AMC: AutoML for Model Compression and Acceleration on Mobile Devices.
autoencoder
implementation of stacked autoencoders
caffe
Caffe: a fast open framework for deep learning.
convolutionalneuralnetwork
implementation of Stanford cs231n convolutional neural network for visual recognition
deeplearningfornlp
implementation of stanford cs224d deep learning for natural language processing
dimensionreduction
Implementation of some well-known DR methods including manifold learning algorithms:PCA,kernelPCA,tsne,isomap,LLE...
distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller
distributed_skipgram_mixture
Distributed skipgram mixture model for multisense word embedding
distributed_word_embedding
Distributed word embedding
dmtk
Microsoft Distributed Machine Learning Toolkit
drl-flappybird
Playing Flappy Bird Using Deep Reinforcement Learning (Based on Deep Q Learning DQN using Tensorflow)
edward
A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
gym
A toolkit for developing and comparing reinforcement learning algorithms.
haq
[CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision
kaggle
scripts on kaggle data science competition
learning-spark
Example code from Learning Spark book
lightgbm
LightGBM is a fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
lightlda
Scalable, fast, and lightweight system for large-scale topic modeling
mini-pytorch
minimum implementation of pytorch
multiverso
Parameter server framework for distributed machine learning
mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
paddle
PArallel Distributed Deep LEarning
pgmpy
Python Library for Probabilistic Graphical Models
proxylessnas
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
reinforcementlearning
inplementation of some well-known RL algorithms based on David Silver's lectures
restrictedboltzmannmachine
implementation of Restricted Boltzmann Machine
scikit-learn
scikit-learn: machine learning in Python
shifu
0.2.x
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