Name: joejiong
Type: User
Company: Ex-Baidu/Ex-intel Programmer
Bio: From China, a grad student from NUS, currently interested in computer systems with DL methodology, & I'm very into math-automatization; now a risc-v believer.
Location: Singapore/Shanghai
joejiong's Projects
Code Analysis and Transformation using LLVM
Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.
book
for demo and review of the basic algo
magma circuits
Collection of malware source code for a variety of platforms in an array of different programming languages.
Paper list of multi-agent reinforcement learning (MARL)
Kaggle Mercari Price Suggestion Challenge
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
Mininet system-level tests, benchmarks, and performance monitoring
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
"Multi-Level Intermediate Representation" Compiler Infrastructure
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 Onnx and CoreML.
MatMul Performance Benchmarks for a Single CPU Core comparing both hand engineered and codegen kernels.
MoCoGAN: Decomposing Motion and Content for Video Generation
A modular active learning framework for Python3
Models built with TensorFlow
Pre-trained and Reproduced Deep Learning Models (『飞桨』官方模型库,包含多种学术前沿和工业场景验证的深度学习模型)
book and codes for Modern Compiler Implementation in C
📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/
An opensource molecule analyze software
A hardware compiler based on LLHD and CIRCT
MPI programming lessons in C and executable code examples
MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.