CreeperLin
2020 phd student @SJTU; member of SJTU ACM Class and APEX lab;
Shanghai Jiao Tong UniversityShanghai
CreeperLin's Stars
junyanz/pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
openai/gpt-2
Code for the paper "Language Models are Unsupervised Multitask Learners"
onnx/onnx
Open standard for machine learning interoperability
diem/diem
Diem’s mission is to build a trusted and innovative financial network that empowers people and businesses around the world.
openai/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
keras-team/autokeras
AutoML library for deep learning
AppImage/AppImageKit
Package desktop applications as AppImages that run on common Linux-based operating systems, such as RHEL, CentOS, openSUSE, SLED, Ubuntu, Fedora, debian and derivatives. Join #AppImage on irc.libera.chat
fchollet/deep-learning-models
Keras code and weights files for popular deep learning models.
carpedm20/DCGAN-tensorflow
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
NVIDIA/pix2pixHD
Synthesizing and manipulating 2048x1024 images with conditional GANs
Lyken17/pytorch-OpCounter
Count the MACs / FLOPs of your PyTorch model.
sarabander/sicp-pdf
SICP PDF with Texinfo and LaTeX source
quark0/darts
Differentiable architecture search for convolutional and recurrent networks
rkern/line_profiler
(OLD REPO) Line-by-line profiling for Python - Current repo ->
melodyguan/enas
TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"
Swall0w/torchstat
Model analyzer in PyTorch
mit-han-lab/proxylessnas
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
tensor-compiler/taco
The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs
eembc/coremark
CoreMark® is an industry-standard benchmark that measures the performance of central processing units (CPU) and embedded microcrontrollers (MCU).
seungwonpark/RandWireNN
Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
KamitaniLab/DeepImageReconstruction
Data and code for Shen, Horikawa, Majima, and Kamitani (2019) Deep image reconstruction from human brain activity. PLoS Comput. Biol. http://dx.doi.org/10.1371/journal.pcbi.1006633.
minhnhat93/tf-SNDCGAN
Tensorflow Implementation of the paper "Spectral Normalization for Generative Adversarial Networks" (ICML 2017 workshop)
han-cai/PathLevel-EAS
Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.
BlissRoms/platform_manifest
Receiling/DP3
Deep Point Process by PyTorch
KamitaniLab/BrainDecoderToolbox2
Matlab library for brain decoding analysis (BrainDecoderToolbox2 data format, machine learning analysis, functional MRI)
jhu-cs318/pintos
The pintos source distribution for JHU CS 318/418 projects
CreeperLin/DCNN-GAN
Code repository for "DCNN-GAN: Reconstructing Realistic Image from fMRI"
progval/PyCorewar
Python library for debugging and benchmarking Externer LinkCore War programs. Imported from:
jensgutzeit/pycorewar
A fast MARS with and easy to use Python interface