shixun404

University of California, Riverside. High-Performance Computing, Reinforcement Learning.

University of California, RiversideRiverside, CA

Pinned Repositories

CS160_Lab2
Language:C01
CS160_Lab4
Language:C00
CS161_Lab2
Language:C00
CS220_Project
Language:C++10
CS235_Obesity_Detection
Language:Jupyter Notebook10
cuSZ
A GPU accelerated error-bounded lossy compression for scientific data.
Language:C++0 0 00
Fault-Tolerant-SGEMM-on-NVIDIA-GPUs
Language:Cuda6 2 23
MADDPG_Demo
Language:Python10
QBOX_TDDFT_GPU
Language:C++10
RLSolver
High-Performance RL Solvers for Non-convex and Combinatorial Optimizations
Language:Python10

shixun404's Repositories

shixun404/Fault-Tolerant-SGEMM-on-NVIDIA-GPUs
Language:Cuda6 2 23
shixun404/CS220_Project
Language:C++10
shixun404/CS235_Obesity_Detection
Language:Jupyter Notebook10
shixun404/MADDPG_Demo
Language:Python10
shixun404/QBOX_TDDFT_GPU
Language:C++10
shixun404/RLSolver
High-Performance RL Solvers for Non-convex and Combinatorial Optimizations
Language:Python10
shixun404/CS160_Lab2
Language:C01
shixun404/CS160_Lab4
Language:C00
shixun404/CS161_Lab2
Language:C00
shixun404/cuSZ
A GPU accelerated error-bounded lossy compression for scientific data.
Language:C++0 0 00
shixun404/cuSZp
Language:Cuda0 0 00
shixun404/ElegantRL
Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥
Language:Python0 0 00
shixun404/elegantRL-marl
Language:Python01
shixun404/FinRL
FinRL: Financial Reinforcement Learning. Please star. 🔥
Language:Jupyter Notebook00
shixun404/github-readme-stats
:zap: Dynamically generated stats for your github readmes
Language:JavaScript00
shixun404/graph_comb_opt
Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"
Language:C++00
shixun404/cutlass
CUDA Templates for Linear Algebra Subroutines
Language:C++
shixun404/FZ-GPU
FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Data on GPUs
Language:Cuda
shixun404/Gymnasium
A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
shixun404/Jump
Wechat Jump
Language:Python
shixun404/linux
Language:C
shixun404/minerl
Language:Python
shixun404/minerl_sub
Language:Python
shixun404/mpe
Language:Python
shixun404/raft
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.
Language:Cuda
shixun404/shixun404
shixun404/shixun404.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Language:JavaScript
shixun404/TetriX
Decentralized and Resilient Multi-Agent Schedulers for High-Performance Computing Clusters
Language:Python
shixun404/xv6-riscv
Xv6 for RISC-V
Language:C