Pinned Repositories
AIChip_Paper_List
awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
bt
bt - flexible backtesting for Python
convnet-burden
Memory consumption and FLOP count estimates for convnets
convNet.pytorch
ConvNet training using pytorch
convolution_kernel
Accelerating CNN's convolution operation on GPUs by using memory-efficient data access patterns.
cupy
NumPy-like API accelerated with CUDA
cutlass-gpgpu-sim
DL-on-Silicon
research, experimentation and implementation of hardware-agnostic accelerated DL framework
EasyQuant
EasyQuant(EQ) is an efficient and simple post-training quantization method via effectively optimizing the scales of weights and activations.
ChoiJungWoo's Repositories
ChoiJungWoo/AIChip_Paper_List
ChoiJungWoo/awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
ChoiJungWoo/bt
bt - flexible backtesting for Python
ChoiJungWoo/convnet-burden
Memory consumption and FLOP count estimates for convnets
ChoiJungWoo/convNet.pytorch
ConvNet training using pytorch
ChoiJungWoo/convolution_kernel
Accelerating CNN's convolution operation on GPUs by using memory-efficient data access patterns.
ChoiJungWoo/cupy
NumPy-like API accelerated with CUDA
ChoiJungWoo/cutlass-gpgpu-sim
ChoiJungWoo/DL-on-Silicon
research, experimentation and implementation of hardware-agnostic accelerated DL framework
ChoiJungWoo/EasyQuant
EasyQuant(EQ) is an efficient and simple post-training quantization method via effectively optimizing the scales of weights and activations.
ChoiJungWoo/efficient_frontier
Markowitz portfolio optimisation (efficient frontier) in Python
ChoiJungWoo/gilbut_portfolio
길벗출판사 포트폴리오
ChoiJungWoo/GPGPU-Ramulator-Simulator
Replace original DRAM model in GPGPU-sim with Ramulator DRAM model
ChoiJungWoo/gpgpu-sim-approximate
ChoiJungWoo/gpgpu-sim_distribution-1
GPGPU-Sim provides a detailed simulation model of a contemporary GPU running CUDA and/or OpenCL workloads and now includes an integrated (and validated) energy model, GPUWattch.
ChoiJungWoo/Phase-Aware-Warp-Scheduling-Policy-on-GPGPU-sim-NVIDIA-TESLA-C2050-Architecture-
ChoiJungWoo/public
ChoiJungWoo/pytorch-playground
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
ChoiJungWoo/pytorch-quant
DL quantization for pytorch
ChoiJungWoo/Rowhammer-experience
ChoiJungWoo/SIT-Python
Python versions of SIT programs