Pinned Repositories
ame
[ICML2022] Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments
noname
Progressive-Photon-Mapping
Course project.
spatial-transformer-tensorflow
StabNet: A neural network for video stabilization.
StabNet0.2
test_pytorch_influence_functions
Test code for pytorch_influence_functions
lazycal's Repositories
lazycal/StabNet0.2
lazycal/Progressive-Photon-Mapping
Course project.
lazycal/spatial-transformer-tensorflow
StabNet: A neural network for video stabilization.
lazycal/ame
[ICML2022] Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments
lazycal/noname
lazycal/test_pytorch_influence_functions
Test code for pytorch_influence_functions
lazycal/backdoor
lazycal/caladan
Interference-aware CPU scheduling that enables performance isolation and high CPU utilization for datacenter servers
lazycal/CoFun
A simple Online Judge System designed for Quanzhou No.7 High School OI training.
lazycal/FMLHW2
lazycal/FMLHW3
Adaboost
lazycal/glmnet_python
lazycal/guitar
An ios app that simulates guitar fingerboard
lazycal/KDD
For https://www.kdd.org/kdd2018/kdd-cup
lazycal/learned-index-tuning
lazycal/learngit
lazycal/onnx
Open standard for machine learning interoperability
lazycal/os_course_exercises
Exercises for OS course
lazycal/pexpect
A Python module for controlling interactive programs in a pseudo-terminal
lazycal/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
lazycal/pytorch_influence_functions
This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang.
lazycal/QtGomoku
lazycal/seaborn
Statistical data visualization in Python
lazycal/ssh-find-agent
Tool to find already running ssh-agent compatible agents
lazycal/test
lazycal/tvm
Open deep learning compiler stack for cpu, gpu and specialized accelerators
lazycal/ucore_os_docs
ucore os lab guide
lazycal/ucore_os_lab
os kernel labs for operating systems course in Tsinghua University.