icodingc's Stars
scutan90/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,50余万字。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scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
rust-unofficial/awesome-rust
A curated list of Rust code and resources.
datasciencescoop/Data-Science--Cheat-Sheet
Cheat Sheets
ttroy50/cmake-examples
Useful CMake Examples
karpathy/micrograd
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
flashlight/flashlight
A C++ standalone library for machine learning
TheLartians/ModernCppStarter
🚀 Kick-start your C++! A template for modern C++ projects using CMake, CI, code coverage, clang-format, reproducible dependency management and much more.
nrc/r4cppp
Rust for C++ programmers
handong1587/handong1587.github.io
seungeunrho/minimalRL
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
wzpan/cmake-demo
《CMake入门实战》源码
rust-lang-cn/rust-by-example-cn
Rust By Example 中文版(包含在线代码编辑器)
yogykwan/acm-challenge-workbook
《挑战程序设计竞赛》习题册攻略
mtrebi/thread-pool
Thread pool implementation using c++11 threads
PacktPublishing/Learn-CUDA-Programming
Learn CUDA Programming, published by Packt
ws13685555932/machine_learning_derivation
notes of machine learning algorithm derivation
CoffeeBeforeArch/cuda_programming
Code from the "CUDA Crash Course" YouTube series by CoffeeBeforeArch
tdegeus/pybind11_examples
Examples for the usage of "pybind11"
NVIDIA/multi-gpu-programming-models
Examples demonstrating available options to program multiple GPUs in a single node or a cluster
Tixierae/deep_learning_NLP
Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
tobegit3hub/miniflow
Minimal numerical computation library with TensorFlow APIs
neopenx/Dragon
Dragon: A Computation Graph Virtual Machine Based Deep Learning Framework.
haowei01/pytorch-examples
train models in pytorch, Learn to Rank, Collaborative Filter, Heterogeneous Treatment Effect, Uplift Modeling, etc
hijkzzz/cuda-neural-network
Convolutional Neural Network with CUDA (MNIST 99.23%)
ws13685555932/18.065_lecture_notes
lecture notes of "Matrix Methods in Data Analysis, Signal Processing, and Machine Learning"
kaszperro/slick-dnn
Tiny and elegant deep learning library
yixuan/recosystem
Recommender System Using Parallel Matrix Factorization