YCSU

YCSU's Stars

• gpt-engineer-org/gpt-engineer

  Specify what you want it to build, the AI asks for clarification, and then builds it.

  Language:Python51.5k6.7k

• NVIDIA/modulus

  Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

  Language:Python820180

• Project-MONAI/MONAI

  AI Toolkit for Healthcare Imaging

  Language:Python5.5k1k

• kitao/pyxel

  A retro game engine for Python

  Language:Rust14.2k820

• CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

  aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

  Language:Jupyter Notebook26.5k7.8k

• Housz/awesome-simulation

  Resources for Physics based simulation in Computer Graphics 图形学中物理模拟的资源整理

  23133

• rtqichen/torchdiffeq

  Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

  Language:Python5.4k909

• udacity/nd013-c2-fusion-exercises

  Exercise Code for Course 2 of the Udacity Self-Driving Car Engineer Nanodegree Program

  Language:Python3562

• rospypi/simple

  Language:Python12813

• microsoft/computervision-recipes

  Best Practices, code samples, and documentation for Computer Vision.

  Language:Jupyter Notebook9.4k1.2k

• cxinping/PyQt5

  《PyQt5快速开发与实战》配套代码

  Language:HTML2.3k975

• klemag/pydata_nyc2018-intro-to-model-interpretability

  Notebook and slides for my talk at Pydata NYC 2018

  Language:Jupyter Notebook8854

• EdjeElectronics/TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10

  How to train a TensorFlow Object Detection Classifier for multiple object detection on Windows

  Language:Python2.9k1.3k

• rafaelpadilla/Object-Detection-Metrics

  Most popular metrics used to evaluate object detection algorithms.

  Language:Python4.9k1k

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook22.2k3.2k

• Dobiasd/frugally-deep

  A lightweight header-only library for using Keras (TensorFlow) models in C++.

  Language:C++1.1k235

• brylevkirill/notes

  Learn about Machine Learning and Artificial Intelligence

  912236

• flamato/3D-computer-vision-resources

  Here is a list of 3D vision resources

  17733

• eriklindernoren/Keras-GAN

  Keras implementations of Generative Adversarial Networks.

  Language:Python9.2k3.1k

• soumith/ganhacks

  starter from "How to Train a GAN?" at NIPS2016

  11.4k1.7k

• scofield7419/Deep-Learning-Papers-for-Fish

  a list of pappers in deep learning for new-comes.

  251103

• carla-simulator/carla

  Open-source simulator for autonomous driving research.

  Language:C++10.9k3.5k

• higgsfield/RL-Adventure

  Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

  Language:Jupyter Notebook3k587

• lucasjinreal/keras_frcnn

  Keras Implementation of faster-rcnn

  Language:Python520278

• L1aoXingyu/code-of-learn-deep-learning-with-pytorch

  This is code of book "Learn Deep Learning with PyTorch"

  Language:Jupyter Notebook2.8k1.2k

• LucaCerina/ampdLib

  Python implementation of the Automatic Multiscale Peak Detection (AMPD) by Felix Scholkmann et al., 2012

  Language:Python4312

• gaoxiang12/slambook-en

  The English version of 14 lectures on visual SLAM.

  Language:TeX1.4k259

• gaoxiang12/slambook

  Language:C++6.8k3.2k

• bokeh/bokeh-notebooks

  Interactive Web Plotting with Bokeh in IPython notebook

  Language:Jupyter Notebook737667

• tzutalin/awesome-visual-slam

  :books: The list of vision-based SLAM / Visual Odometry open source, blogs, and papers

  2.2k437