jongkook-choi's Stars
kaist-cp/kecc-public
KECC: KAIST Educational C Compiler. IMPORTANT: DON'T FORK!
damhiya/sflab-overlay
pynufft/pynufft
PyNUFFT: Python non-uniform fast Fourier transform
flatironinstitute/DeepFRI
Deep functional residue identification
flatironinstitute/sparse_dot
Python wrapper for Intel Math Kernel Library (MKL) matrix multiplication
flatironinstitute/cufinufft
Nonuniform fast Fourier transforms of types 1 and 2, in 1D, 2D, and 3D, on the GPU
sshleifer/Graph-WaveNet
Modifications to Graph Wavenet
nnzhan/Graph-WaveNet
graph wavenet
MoMe36/BranchingDQN
BranchingDQN
martius-lab/blackbox-backprop
Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solvers"
SURGroup/UQpy
UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
HyTruongSon/GraphFlow
Deep Learning framework in C++/CUDA that supports symbolic/automatic differentiation, dynamic computation graphs, tensor/matrix operations accelerated by GPU and implementations of various state-of-the-art graph neural networks and other Machine Learning models including Covariant Compositional Networks For Learning Graphs [Risi et al]
royaljs/refinitiv-eikon-proxy-server
A project of Refinitiv Eikon Data Proxy server for cooperation with team members
colejhudson/goldman-sachs-quantitative-strategies-research-notes
Goldman Sachs - Quantitative Strategies Research Notes
gugarosa/opytimizer
🐦 Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.
mlpack/ensmallen
A header-only C++ library for numerical optimization --
boundedvariation/quantfin
quant finance in pure haskell
accel-brain/accel-brain-code
The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.
tensorflow/probability
Probabilistic reasoning and statistical analysis in TensorFlow
jjgoings/pade
do the Fourier transform using the method of Padé approximants
jkirkby3/fypy
Vanilla and exotic option pricing library to support quantitative R&D. Focus on pricing interesting/useful models and contracts (including and beyond Black-Scholes), as well as calibration of financial models to market data.
Tom111nz/Vol
Volatility files
benedekrozemberczki/awesome-fraud-detection-papers
A curated list of data mining papers about fraud detection.
NVIDIA/fsi-samples
A collection of open-source GPU accelerated Python tools and examples for quantitative analyst tasks and leverages RAPIDS AI project, Numba, cuDF, and Dask.
damhiya/pfds
purely functional data structures
IfanTsai/mgx
:rainbow: A high performance network framework written in c++ (support tcp and http)
mbattyani/sub-25-ns-nasdaq-itch-fpga-parser
cvxopt/cvxopt
CVXOPT -- Python Software for Convex Optimization
metadsl/metadsl
Domain Specific Languages in Python
radomirbosak/random-ast
Generate random python programs