数据结构和算法必知必会的50个代码实现

A PyTorch implementation of the Transformer model in "Attention is All You Need".

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

Sample Program for Azure Kinect Sensor SDK and Azure Kinect Body Tracking SDK

FBX exporter addon for Blender compatible with Unity's coordinate and scaling system.

Configure Caffe in one hour for Windows users.

A simple Python API for single camera calibration using opencv

OpenCV-Python 相机标定及矫正，张正友相机标定法

The source code for the appendix part of the Chinese version of the book Coding Interviews

超轻量级中文ocr，支持竖排文字识别, 支持ncnn推理 , psenet(8.5M) + crnn(6.3M) + anglenet(1.5M) 总模型仅17M

PyTorch implementation of CNNs for CIFAR dataset (97.71% on cifar10)

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

Inplement an CNN frame with Numpy, easy to learn, hard to use hhhh

📚 C++ Primer 5 exercise answers.

After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to k…

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

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15个章节，近20万字。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[email protected] 版权所有，违权必究 Tan 2018.06

cate: motion_interp

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

Example code for the book Fluent Python

Tools to load, process and visualize motion capture data

The fastai deep learning library, plus lessons and tutorials

A faster pytorch implementation of faster r-cnn

Machine learning, computer vision, statistics and general scientific computing for .NET

The official gpt4free repository | various collection of powerful language models