MateosCz

MateosCz's Stars

• BVLC/caffe

  Caffe: a fast open framework for deep learning.

  Language:C++34.1k2.1k4.8k18.7k

• google/jax

  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

  Language:Python30k3285.5k2.7k

• deepinsight/insightface

  State-of-the-art 2D and 3D Face Analysis Project

  Language:Python23k5102.5k5.4k

• pytorch/examples

  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

  Language:Python22.3k3986379.5k

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

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

  Language:PostScript17.8k147142.2k

• cp-algorithms/cp-algorithms

  Algorithm and data structure articles for https://cp-algorithms.com (based on http://e-maxx.ru)

  Language:C++7.5k1053461.6k

• christianversloot/machine-learning-articles

  🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

  3.4k630722

• SciML/DifferentialEquations.jl

  Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.

  Language:Julia2.9k57878226

• TylerYep/torchinfo

  View model summaries in PyTorch!

  Language:Python2.5k18157119

• bighuang624/AI-research-tools

  :hammer:AI 方向好用的科研工具

  2.3k384344

• JavierAntoran/Bayesian-Neural-Networks

  Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

  Language:Jupyter Notebook1.8k2724304

• n2cholas/awesome-jax

  JAX - A curated list of resources https://github.com/google/jax

  1.5k458127

• yang-song/score_sde

  Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

  Language:Jupyter Notebook1.4k1925199

• jayinai/ml-interview

  Preparing for machine learning interviews

  Language:Jupyter Notebook892373223

• curtisjamesholt/EasyBPY

  A module to simplify the use of the Blender Python API.

  Language:Python41336967

• wildmeshing/fTetWild

  Fast Tetrahedral Meshing in the Wild

  Language:C++409206080

• nmwsharp/diffusion-net

  Pytorch implementation of DiffusionNet for fast and robust learning on 3D surfaces like meshes or point clouds.

  Language:Python408123051

• wzhvictor/bjguahao

  北京市预约挂号统一平台脚本(Python3)

  Language:Python336138322

• odedstein/meshes

  A repository with a variety of meshes with minimal licensing requirements.

  Language:Python224508

• BlackStartx/PyCharm-Blender-Plugin

  A PyCharm Plugin that simplify the development of Blender Add-On inside the PyCharm IDE.

  Language:Java149102512

• RumbleDB/bigdata-exercises

  Exercises for the Big Data lecture at ETH Zurich (Fall 2021)

  Language:Jupyter Notebook125192298

• bezkoder/spring-boot-jpa-postgresql

  Spring Boot, PostgreSQL example with Maven, Spring JPA

  Language:Java704079

• chenzhaiyu/abspy

  A Python tool for 3D adaptive binary space partitioning and beyond

  Language:Python7061110

• Lancelot899/discrete_differential_geometry

  离散几何处理中文版翻译

  55207

• alisaaalehi/convolution_as_multiplication

  Step by step explanation of 2D convolution implemented as matrix multiplication using toeplitz matrices

  Language:Jupyter Notebook541111

• RameshMF/springboot-postgresql-hibernate-crud-example

  Spring Boot, PostgreSQL, JPA, Hibernate RESTful CRUD API Tutorial - https://youtu.be/eWbGV3LLwVQ

  Language:Java423360

• pvnieo/DPFM

  Pytorch code for "DPFM: Deep Partial Functional Maps" - 3DV 2021 (Oral)

  Language:Python41674

• morris821028/Computational-Geometry

  Lesson in school. Some matrial, homework and extra program implementation

  Language:JavaScript301111

• pvnieo/FMNet-pytorch

  A Pytorch implementation of: "Deep Functional Maps: Structured Prediction for Dense Shape Correspondence"

  Language:Python17440

• AlgebraLoveme/RTAI-cheatsheet

  Summary of Reliable and Trustworthy Artificial Intelligence

  Language:TeX6101