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algorithms_learning

learn how to use algorithms well

caffe

Caffe: a fast open framework for deep learning.

caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

circular_buffer

Boost.org circular_buffer module

cpu-memory

Demonstrate the effects of CPU memory on SW performance

cuda-programming-learning

learn how to use CUDA C/C++ more effectively

cudamat

Python module for performing basic dense linear algebra computations on the GPU using CUDA.

cupy

NumPy-like API accelerated with CUDA

deepbench

Benchmarking Deep Learning operations on different hardware

effective-cplusplus

git

Git Source Code Mirror - This is a publish-only repository and all pull requests are ignored. Please follow Documentation/SubmittingPatches procedure for any of your improvements.

gluon-cv

Gluon CV Toolkit

gluon-tutorials-zh

《动手学深度学习》

googletest

Googletest - Google Testing and Mocking Framework

horovod

Distributed training framework for TensorFlow, Keras, and PyTorch.

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

learn-python

learn_git

learn how to use git more effectively

mkl-dnn

Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)

mxnet-elastic-training

[WIP] elastic training implemented with MXNet

oneapi-spec

oneAPI Specification source files

onnx

Open standard for machine learning interoperability

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

sharing_models

sharing models and wheels

sjtuthesis

上海交通大学 XeLaTeX 学位论文模板 A XeLaTeX template for Shanghai Jiao Tong University (SJTU) thesis.

tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

web-data

The repo to host all the web data including images for documents in dmlc projects.