ssgmath

ssgmath's Stars

• janishar/mit-deep-learning-book-pdf

  MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

  Language:Java13k411182.7k

• triton-inference-server/server

  The Triton Inference Server provides an optimized cloud and edge inferencing solution.

  Language:Python8.6k1493.8k1.5k

• mfrdixon/ML_Finance_Codes

  Machine Learning in Finance: From Theory to Practice Book

  Language:Jupyter Notebook1.9k628509

• krishnaik06/Machine-Learning-in-90-days

  Language:Jupyter Notebook1.3k8641.5k

• NVIDIA/partialconv

  A New Padding Scheme: Partial Convolution based Padding

  Language:Python1.2k3438213

• Yixin-Hu/TetWild

  Robust Tetrahedral Meshing in the Wild.

  Language:C++625327399

• NERSC/timemory

  Modular C++ Toolkit for Performance Analysis and Logging. Profiling API and Tools for C, C++, CUDA, Fortran, and Python. The C++ template API is essentially a framework to creating tools: it is designed to provide a unifying interface for recording various performance measurements alongside data logging and interfaces to other tools.

  Language:C++357165838

• peteflorence/MachineLearning6.867

  My own notes, implementations, and musings for MIT's graduate course in machine learning, 6.867

  298101122

• mdribeiro/DeepCFD

  DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks

  Language:Python21891565

• argonne-lcf/TensorFlowFoam

  Integrating the TensorFlow 1.15 C-API into OpenFOAM 5.0 for data-driven CFD algorithm development

  Language:C++205281972

• ikespand/awesome-machine-learning-fluid-mechanics

  Curated list for ML in FM

  19217046

• pavankalyan1997/Machine-learning-without-any-libraries

  This is a collection of some of the important machine learning algorithms which are implemented with out using any libraries. Libraries such as numpy and pandas are used to improve computational complexity of algorithms

  Language:Jupyter Notebook18550172

• GavinBarill/fast-winding-number-soups

  An example that complies and runs the fast winding number for soups

  Language:CMake697211

• NERSC/dl4sci-tf-tutorials

  Official TensorFlow 2.0 tutorial notebooks for the Deep Learning for Science School at LBNL

  Language:Jupyter Notebook436010

• DmitryLyakh/CUDA_Tutorial

  Language:Cuda23406

• JuliaOcean/MarineEcosystemsJuliaCon2021.jl

  Modeling Marine Ecosystems At Multiple Scales Using Julia

  Language:Julia23348

• NERSC/timemory-tutorials

  Tutorials for Timemory

  Language:Jupyter Notebook191931

• olcf/openacc-training-series

  Language:Fortran81316

• exalearn/epiCorvid

  Language:C++3410

• IntelPython/fft_benchmark

  Language:C3424

• jantoniadis/nucleosynthesis

  320

• NERSC/mlperf-prof

  Common set of utilities for MLPerf-HPC profiling

  Language:Python3171

• lbnl-science-it/Training-OpenOnDemand

  Open OnDemand HPC Training - March 2021

  Language:HTML120

• linuxus/worker-safety

  Build worker safety system using DeepLens and Amazon Rekognition.

  Language:Python1201

• mmr0/DDC_model_out

  Model output from large-eddy simulation of the ice-ocean boundary layer under double-diffusive convection favourable conditions.

  Language:Jupyter Notebook1

• NERSC/kokkos

  Kokkos C++ Performance Portability Programming EcoSystem: The Programming Model - Parallel Execution and Memory Abstraction

  Language:C++130

• ngrisouard/dedalus-on-ComputeCanada

  Instructions about installing dedalus on Niagara

  Language:Jupyter Notebook11

• shawfdong/shawfdong.github.io

  notes on CyberInfrastructure, High Performance Computing and Machine Learning

  Language:CSS10

• tuguldurs/btc_LSTM

  LSTM netwok application through pytorch on historical bitcoin price data

  Language:Jupyter Notebook1

• tuguldurs/tuguldurs.github.io

  personal webpage

  Language:JavaScript1