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awesome-llm

Awesome-LLM: a curated list of Large Language Model

awesome_ai4eda

cache-model

存储模型初期

cadical

CaDiCaL SAT Solver

chinesebqb

🇨🇳 Chinese sticker pack,More joy / 表情包的博物馆, Github最有毒的仓库, **表情包大集合, 聚欢乐~

circuitsolver

codinginterviewchinese2

《剑指Offer》第二版源代码

cpp-primer-5th-notes-cn

📚 《C++ Primer中文版（第5版）》笔记

cppprimer

:books: Solutions for C++ Primer 5th exercises.

cppprimer-note

My reading note of The C++ Primer

cs-book

计算机类常用电子书整理，并且附带下载链接，包括Java，Python，Linux，Go，C，C++，数据结构与算法，人工智能，计算机基础，面试，设计模式，数据库，前端等书籍

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

graphneuralnetwork

《深入浅出图神经网络：GNN原理解析》配套代码

hamfou

简单的智能问答系统

intel_sat_solver

This repository contains the code of Intel(R) SAT Solver (IntelSAT)

irregular_packing

kissat

learn-python3

Learn Python 3 Sample Code

learning-to-optimize-arxiv

The repository archives papers regarding the combination of combinatorial optimization and machine learning and corresponding reading notes.

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

ml-tutorial-experiment

Coding the Machine Learning Tutorial for Learning to Learn

my_test

just test how to use vscode to link github

nstools

Some meaningless nscripter tools.

openabc

OpenABC-D is a large-scale labeled dataset generated by synthesizing open source hardware IPs. This dataset can be used for various graph level prediction problems in chip design.

picbed

主要是作为图床，保存personal blog中的图片

python-100-days

Python - 100天从新手到大师

python-rasterstats

Summary statistics of geospatial raster datasets based on vector geometries.

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

reusedistance

An open source library for computing and keeping stats about the reuse distances and/or spatial locality properties of a memory address stream.