friedsky

friedsky's Stars

• RedstoneWill/MachineLearningInAction-Camp

  Language:Jupyter Notebook274183

• wesm/pydata-book

  Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

  Language:Jupyter Notebook22.2k15.2k

• egonSchiele/grokking_algorithms

  Code for the book Grokking Algorithms (https://amzn.to/29rVyHf)

  Language:JavaScript11.6k3.8k

• qiyuangong/leetcode

  Python & JAVA Solutions for Leetcode

  Language:Python5.2k1.5k

• Ironteen/YOLOv3-quantization-model-v1.0

  YOLOv3 quantization model v10, only for quantization off-line

  Language:Python218

• Tencent/ncnn

  ncnn is a high-performance neural network inference framework optimized for the mobile platform

  Language:C++20.4k4.2k

• alibaba/MNN

  MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

  Language:C++8.7k1.7k

• WillKoehrsen/ai-projects

  Artificial Intelligence projects, documentation and code.

  Language:Jupyter Notebook363254

• WillKoehrsen/hyperparameter-optimization

  Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms

  Language:Jupyter Notebook622326

• huguyuehuhu/HCN-pytorch

  A pytorch reproduction of { Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation }.

  Language:Python21958

• wiseodd/MCMC

  Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.

  Language:Python367128

• pgmpy/pgmpy

  Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

  Language:Python2.7k716

• lshiwjx/2s-AGCN

  Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19

  Language:Python666180

• XiaoCode-er/Skeleton-Based-Action-Recognition-Papers

  The paper list about skeleton-based action recognition.

  28251

• open-mmlab/mmaction

  An open-source toolbox for action understanding based on PyTorch

  Language:Python1.9k352

• jinwchoi/awesome-action-recognition

  A curated list of action recognition and related area resources

  3.8k725

• open-mmlab/mmskeleton

  A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.

  Language:Python2.9k1k

• yjxiong/tsn-pytorch

  Temporal Segment Networks (TSN) in PyTorch

  Language:Python1.1k310

• niais/Awesome-Skeleton-based-Action-Recognition

  Skeleton-based Action Recognition

  Language:HTML676124

• kenshohara/3D-ResNets-PyTorch

  3D ResNets for Action Recognition (CVPR 2018)

  Language:Python3.9k930

• jbhuang0604/awesome-computer-vision

  A curated list of awesome computer vision resources

  21k4.2k

• facebookresearch/detectron2

  Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

  Language:Python30.4k7.5k

• NiteshBharadwaj/part-affinity

  Multi person pose implementation using part affinity fields

  Language:Python10620

• tensorboy/pytorch_Realtime_Multi-Person_Pose_Estimation

  Language:Python1.4k412

• donnyyou/torchcv

  TorchCV: A PyTorch-Based Framework for Deep Learning in Computer Vision

  Language:Shell2.2k378

• Daniil-Osokin/lightweight-human-pose-estimation.pytorch

  Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.

  Language:Python2.1k479

• Hzzone/pytorch-openpose

  pytorch implementation of openpose including Hand and Body Pose Estimation.

  Language:Jupyter Notebook2.1k400

• CMU-Perceptual-Computing-Lab/openpose_train

  Training repository for OpenPose

  Language:Python579185

• cbsudux/awesome-human-pose-estimation

  A collection of awesome resources in Human Pose estimation.

  2.4k415

• Cadene/pretrained-models.pytorch

  Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

  Language:Python9k1.8k