ChoiJungWoo's repositories
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
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.
efficient_frontier
Markowitz portfolio optimisation (efficient frontier) in Python
gilbut_portfolio
길벗출판사 포트폴리오
GPGPU-Ramulator-Simulator
Replace original DRAM model in GPGPU-sim with Ramulator DRAM model
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.
pytorch-playground
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
pytorch-quant
DL quantization for pytorch
SIT-Python
Python versions of SIT programs