wongzingji

wongzingji's Stars

• ruanyf/weekly

  科技爱好者周刊，每周五发布

  47.4k2.9k

• williamchange/b3dsdf

  🛠️ A toolkit of 2D/3D distance functions, sdf/vector ops and various utility shader nodegroups (160+) for Blender 2.83+. Also available as an addon which adds a menu in the shader editor.

  Language:Python39617

• stegu/webgl-noise

  GLSL procedural noise functions compatible with WebGL

  Language:C48838

• lettier/3d-game-shaders-for-beginners

  🎮 A step-by-step guide to implementing SSAO, depth of field, lighting, normal mapping, and more for your 3D game.

  Language:C++17.9k1.4k

• aleju/imgaug

  Image augmentation for machine learning experiments.

  Language:Python14.4k2.4k

• zju3dv/LoFTR

  Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022

  Language:Jupyter Notebook2.3k361

• ubc-vision/image-matching-benchmark

  Public release of the Image Matching Benchmark: https://image-matching-challenge.github.io

  Language:Jupyter Notebook52693

• graphitemaster/normals_revisited

  revisiting a known normal transformation in computer graphics

  1506

• alembics/disco-diffusion

  Language:Jupyter Notebook7.5k1.1k

• pesser/pytorch_diffusion

  PyTorch reimplementation of Diffusion Models

  Language:Python49149

• Sxela/DiscoDiffusion-Warp

  DiscoDiffusion Warp

  Language:Jupyter Notebook32642

• rolux/stylegan2encoder

  StyleGAN2 - Official TensorFlow Implementation

  Language:Python38071

• shihenw/convolutional-pose-machines-release

  Code repository for Convolutional Pose Machines, CVPR'16

  Language:Jupyter Notebook878343

• cbsudux/Human-Pose-Estimation-101

  Basics of 2D and 3D Human Pose Estimation.

  33235

• NovemberChopin/RL_Tutorial

  Tutorial for Reinforcement Learning

  Language:Python17136

• qfettes/DeepRL-Tutorials

  Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

  Language:Jupyter Notebook1.1k324

• mimoralea/applied-reinforcement-learning

  Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

  Language:Jupyter Notebook314101

• omerbsezer/Reinforcement_learning_tutorial_with_demo

  Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

  Language:Jupyter Notebook731170

• gfxfundamentals/webgl2-fundamentals

  WebGL 2 lessons starting from the basics

  Language:HTML1.7k220

• LearnOpenGL-CN/LearnOpenGL-CN

  http://learnopengl.com 系列教程的简体中文翻译

  Language:CSS5.7k1.1k

• patriciogonzalezvivo/thebookofshaders

  Step-by-step guide through the abstract and complex universe of Fragment Shaders.

  Language:GLSL6k688

• wshxbqq/GLSL-Card

  着色器语言 GLSL (opengl-shader-language)入门大全

  1.3k301

• openai/maddpg

  Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

  Language:Python1.6k490

• afiaka87/clip-guided-diffusion

  A CLI tool/python module for generating images from text using guided diffusion and CLIP from OpenAI.

  Language:Python45962

• christianversloot/machine-learning-articles

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

  3.4k722

• openai/guided-diffusion

  Language:Python6.2k821

• ermongroup/ncsn

  Noise Conditional Score Networks (NeurIPS 2019, Oral)

  Language:Python67596

• w86763777/pytorch-ddpm

  Unofficial PyTorch implementation of Denoising Diffusion Probabilistic Models

  Language:Python50362

• ermongroup/ddim

  Denoising Diffusion Implicit Models

  Language:Python1.4k206

• microsoft/CameraTraps

  PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.

  Language:Jupyter Notebook769243