qijune Goto Github PK
Name: QI JUN
Type: User
Company: @NVIDIA
Location: SHANG HAI
QI JUN's Projects
apollo
An open autonomous driving platform
arena
A CLI for Kubeflow.
autograd
Efficiently computes derivatives of numpy code.
benchmark
benchmark profiling
book
caffe
Caffe: a fast open framework for deep learning.
caffe2
Caffe2 is a lightweight, modular, and scalable deep learning framework.
chainer
A flexible framework of neural networks for deep learning
differential-privacy
Google's C++ differential privacy library.
dynet
DyNet: The Dynamic Neural Network Toolkit
edl_benchmark
benchmark of ElasticDL
elasticdl
fairscale
PyTorch extensions for high performance and large scale training.
fluidray
glow
Compiler for Neural Network hardware accelerators
gocv
Go package for computer vision using OpenCV 4 and beyond.
gop
GoPlus - The Go+ language for data science
gotorch
kubedl
A unified operator for running deep learning/machine learning workloads on Kubernetes
learning-notes
majel
just for testing
metaseq
Repo for external large-scale work
minpy
NumPy interface with mixed backend execution
model_zoo
models
Model configurations
mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
nemo
NeMo: a toolkit for conversational AI
ngraph
Technical Preview of Intel® Nervana™ Graph
nnvm
Bring deep learning to bare metal
oneflow
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
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