YangyangFu

YangyangFu's Stars

• youngyangyang04/leetcode-master

  《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

  Language:Shell51.6k38223911.5k

• Lightning-AI/pytorch-lightning

  Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

  Language:Python28.3k2507.1k3.4k

• taichi-dev/taichi

  Productive, portable, and performant GPU programming in Python.

  Language:C++25.5k3872.7k2.3k

• fchollet/deep-learning-with-python-notebooks

  Jupyter notebooks for the code samples of the book "Deep Learning with Python"

  Language:Jupyter Notebook18.7k6531858.7k

• kenjihiranabe/The-Art-of-Linear-Algebra

  Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"

  Language:PostScript17.9k147142.2k

• NVIDIA/nvidia-docker

  Build and run Docker containers leveraging NVIDIA GPUs

  17.2k4511.6k2k

• dmlc/dgl

  Python package built to ease deep learning on graph, on top of existing DL frameworks.

  Language:Python13.5k1752.8k3k

• khangich/machine-learning-interview

  Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

  9.6k22241.6k

• Atcold/NYU-DLSP20

  NYU Deep Learning Spring 2020

  Language:Jupyter Notebook6.7k134882.2k

• tensorflow/swift

  Swift for TensorFlow

  Language:Jupyter Notebook6.1k259254607

• alex-shpak/hugo-book

  Hugo documentation theme as simple as plain book

  Language:HTML3.4k294831.2k

• google-deepmind/dm-haiku

  JAX-based neural network library

  Language:Python2.9k37250233

• IntelLabs/coach

  Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

  Language:Python2.3k126264461

• lkulowski/LSTM_encoder_decoder

  Build a LSTM encoder-decoder using PyTorch to make sequence-to-sequence prediction for time series data

  Language:Python3841886

• lbl-srg/modelica-buildings

  Modelica Buildings library

  Language:Modelica254431.6k157

• modelon-community/PyFMI

  PyFMI is a package for loading and interacting with Functional Mock-Up Units (FMUs) both for Model Exchange and Co-Simulation, which are compiled dynamic models compliant with the Functional Mock-Up Interface (FMI)

  Language:Python1651511437

• ibpsa/project1-boptest

  Building Optimization Performance Tests

  Language:Modelica1071733770

• ryderling/practicalAI

  A practical approach to learning machine learning.

  Language:Jupyter Notebook924037

• YangyangFu/SGA

  Surrogate-assisted Genetic Algorithm

  Language:Java4201

• YangyangFu/deepmind-research

  This repository contains implementations and illustrative code to accompany DeepMind publications

  Language:Jupyter Notebook110

• YangyangFu/modelica-buildings

  Modelica Buildings library

  Language:Modelica1