Tianfeng Liu's repositories
BGL_NSDI2023
Open source code of BGL NSDI 2023
awesome-cmake
A curated list of awesome CMake resources, scripts, modules, examples and others.
CLRS
:notebook:Solutions to Introduction to Algorithms
dlvm-core
Compiler Infrastructure for Deep Learning Systems - Core Infrastructure
Freeflow
High performance container overlay networks on Linux. Enabling RDMA (on both InfiniBand and RoCE) and accelerating TCP to bare metal performance. Freeflow requires zero modification on application code/binary.
irn-vivado-hls
IRN's packet processing logic synthesized using Xilinx Vivado HLS
KnightKing
A general-purpose, distributed graph random walk engine.
learning-cmake
learning cmake
ligra
Ligra: A Lightweight Graph Processing Framework for Shared Memory
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
MMdnn
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch and CoreML.
myfitbit
Fitbit data export - Because your data belongs to you!
nnvm
Bring deep learning to bare metal
onnx
Open Neural Network Exchange
onnxmltools
ONNXMLTools enables conversion of models to ONNX. Currently supports CoreML and SciKit
ProbLink
A stable and practical AS relationship inference algorithm
protobuf
Protocol Buffers - Google's data interchange format
rdma-core
RDMA core userspace libraries and daemons
signal-collect
A framework for scalable graph computing.
spark
Mirror of Apache Spark
tensorflow-internals
It is open source ebook about TensorFlow kernel and implementation mechanism.
ThePreciousYoungMen
那些珍贵的年轻人
tianshou
A Library for Deep Reinforcement Learning Based on TensorFlow
tvm
Open deep learning compiler stack for cpu, gpu and specialized accelerators
WorkingTime
向发起人致敬 https://github.com/WorkerLivesMatter/WorkingTime
wukong
A graph-based distributed in-memory store that leverages efficient graph exploration to provide highly concurrent and low-latency queries over big linked data