Pinned Repositories
btree_project
cs_hackers_hub
tech interview solutions
cuda-random-projection
A Cuda implementation for random projection algorithm for motif discovery
ParallelTimeSeriesMining
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
stDBMStarTree
A DBM*-Tree implementation using Arboretum Library. See more details at https://dl.acm.org/citation.cfm?id=1233414
sushi-react-app
Nosotros somos una plataforma de delivery online. Tenemos a tus restaurantes de sushis favoritos en un solo lugar, para que tengas más variedad en el momento de elegir.
ucx-transport-perf
blazingsql
BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
cudf
cuDF - GPU DataFrame Library
aocsa's Repositories
aocsa/btree_project
aocsa/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
aocsa/ada-project
cpp template project with conda
aocsa/blazingsql
BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
aocsa/fzf
:cherry_blossom: A command-line fuzzy finder
aocsa/LRUCache
Sample LRUCache Implementation using templates for CS3102 - Advanced Data Structures.
aocsa/tech_track
aocsa/ucx-transport-perf
aocsa/awesome-jupyterlab
A curated list of awesome JupyterLab extensions and resources
aocsa/awesome-modern-cpp
A collection of resources on modern C++
aocsa/cache-friendly-samples
Code samples from the presentation "What do you mean by 'Cache Friendly'?"
aocsa/canvas_config
creating links
aocsa/casadi
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.
aocsa/clx
A simple API for security analysts, data scientists, and engineers to quickly get started applying RAPIDS to real-world cyber use cases
aocsa/coding-interview-gym
leetcode.com , algoexpert.io solutions in python and swift
aocsa/cuml
cuML - RAPIDS Machine Learning Library
aocsa/d2l-pytorch
This is an attempt to modify Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook's code into PyTorch.
aocsa/dataframe-cpp
dataframe for c++
aocsa/dbg-macro
A dbg(…) macro for C++
aocsa/fd
A simple, fast and user-friendly alternative to 'find'
aocsa/google-cloud-cpp
Google Cloud Client Library for C++
aocsa/grokking-the-coding-interview
Grokking the Coding Interview: Patterns for Coding Questions (https://www.educative.io/courses/grokking-the-coding-interview).
aocsa/Grokking-the-Coding-Interview-Patterns-for-Coding-Questions
Grokking the Coding Interview: Patterns for Coding Questions Alternative
aocsa/hpx
The C++ Standard Library for Parallelism and Concurrency
aocsa/intro_to_python_solns
Solutions for Data Science Fundamentals: Intro to Python
aocsa/liquidprompt
A full-featured & carefully designed adaptive prompt for Bash & Zsh
aocsa/neovim-config
Neovim configuration
aocsa/RaftLib
The RaftLib C++ library, streaming/dataflow concurrency via C++ iostream-like operators
aocsa/talent-plan
PingCAP training courses
aocsa/the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.