Pinned Repositories
30dayMakeCppServer
30天自制C++服务器，包含教程和源代码
aho-corasick
A-C implementation in "C". Tight-packed (interleaved) state-transition matrix -- as fast as it gets, as small as it gets.
algorithmic_trading_book
2 books and related source codes for algorithmic trading.
algorithms-study
《算法竞赛进阶指南》学习：题解、笔记
any
Implementation of std::experimental::any, including small object optimization, for C++11 compilers
asr-lab-e6870
my solution to labs of automatic speech recognition course e6870.
assignment1
Assignment 1: automatic differentiation
gpuRIR
Python library for Room Impulse Response (RIR) simulation with GPU acceleration
MIT6.824-2012spring-yfs
My implementation of YFS(Yet Another File System)
TCP-Lab
Stanford cs144 lab，an elegant TCP/IP implementation
w1d2s's Repositories
w1d2s/30dayMakeCppServer
30天自制C++服务器，包含教程和源代码
w1d2s/Awesome-GNN4TS
📈 Awesome resources related to GNNs for Time Series Analysis (GNN4TS) 🔥 https://arxiv.org/abs/2307.03759
w1d2s/awesome-imbalanced-learning
😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库
w1d2s/concurrent-dataloader
Profiling and Improving the PyTorch Dataloader for high-latency Storage
w1d2s/cvxportfolio
Portfolio optimization and back-testing.
w1d2s/ddia
《Designing Data-Intensive Application》DDIA中文翻译
w1d2s/fft-conv-pytorch
Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.
w1d2s/GNNPapers
Must-read papers on graph neural networks (GNN)
w1d2s/GPU-Puzzles
Solve puzzles. Learn CUDA.
w1d2s/HolisticTraceAnalysis
A library to analyze PyTorch traces.
w1d2s/how-to-optim-algorithm-in-cuda
how to optimize some algorithm in cuda.
w1d2s/how-to-optimize-gemm
w1d2s/hw10
w1d2s/hw11
第11课回家作业
w1d2s/indentLine
A vim plugin to display the indention levels with thin vertical lines
w1d2s/LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
w1d2s/LOB-feature-analysis
Feature engineering of a Limit Order Book. Extraction of features from a LOB in order to analyse the behaviour of trade market.
w1d2s/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
w1d2s/moderngpu
Patterns and behaviors for GPU computing
w1d2s/pandas_exercises
Practice your pandas skills!
w1d2s/perf-book
The book "Performance Analysis and Tuning on Modern CPU"
w1d2s/perf-ninja
This is an online course where you can learn and master the skill of low-level performance analysis and tuning.
w1d2s/prefetch_generator
Simple package that makes your generator work in background thread
w1d2s/project-based-learning
Curated list of project-based tutorials
w1d2s/pyahocorasick
Python module (C extension and plain python) implementing Aho-Corasick algorithm
w1d2s/pytorch_scatter
PyTorch Extension Library of Optimized Scatter Operations
w1d2s/Quant-Reading-List
Papers for AI + quantitative investment
w1d2s/resource-stream
CUDA related news and material links
w1d2s/Triton-Puzzles
Puzzles for learning Triton
w1d2s/TSFpaper
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.