tianshuichen

tianshuichen's Stars

• scutan90/DeepLearning-500-questions

  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18个章节，50余万字。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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  Language:JavaScript54.9k2.2k18915.9k

• google/styleguide

  Style guides for Google-originated open-source projects

  Language:HTML37.5k1.3k34013.3k

• virgili0/Virgilio

  Your new Mentor for Data Science E-Learning.

  Language:Jupyter Notebook14k787442.5k

• NVIDIA/DeepLearningExamples

  State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

  Language:Jupyter Notebook13.6k2968463.2k

• TadasBaltrusaitis/OpenFace

  OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

  Language:MATLAB7k2801k1.9k

• seetaface/SeetaFaceEngine

  Language:C++4.6k4161961.8k

• NVlabs/eg3d

  Language:Python3.2k157113363

• zzw922cn/Automatic_Speech_Recognition

  End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

  Language:Python2.8k14690537

• vsitzmann/awesome-implicit-representations

  A curated list of resources on implicit neural representations.

  2.5k1140141

• SeanNaren/deepspeech.pytorch

  Speech Recognition using DeepSpeech2.

  Language:Python2.1k52503619

• IgorSusmelj/pytorch-styleguide

  An unofficial styleguide and best practices summary for PyTorch

  Language:Python1.9k458172

• shunliz/Machine-Learning

  机器学习原理

  Language:Python1.3k483291

• becauseofAI/awesome-face

  An awesome face technology repository.

  Language:HTML1.3k791214

• KaihuaTang/Scene-Graph-Benchmark.pytorch

  A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiased Scene Graph Generation from Biased Training CVPR 2020”

  Language:Jupyter Notebook1.1k17204229

• mitmedialab/AI-generated-characters

  AI-generated-character

  Language:Jupyter Notebook4582010107

• chengzhengxin/sdm

  Supervised Descent Method Apply to Face Alignment, and Head Pose Estimation with Linear Regression. It is cross-platfrom, easily compile in windows, ubuntu, even in Android & iOS.

  Language:C++4493342197

• chanyn/3Dpose_ssl

  3D Human Pose Machines with Self-supervised Learning

  Language:C++414252782

• wzhouxiff/RestoreFormer

  [CVPR 2022] RestoreFormer: High-Quality Blind Face Restoration from Undegraded Key-Value Pairs

  Language:Python33592835

• HCPLab-SYSU/SSGRL

  Language:Python16272032

• HCPLab-SYSU/CD-FER-Benchmark

  A Unified Evaluation Benchmark for Cross-Domain Facial Expression Recognition (TPAMI'22, ACM MM'20)

  Language:Python10352123

• HCPLab-SYSU/HCP-MLR-PL

  Multi-label Image Recognition with Partial Labels (IJCV'24, ESWA'24, AAAI'22)

  Language:Python36465

• HCPLab-SYSU/KERN

  Code for Knowledge-Embedded Routing Network for Scene Graph Generation (CVPR 2019)

  Language:Python22405

• tianshuichen/DeepLearning-500-questions

  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18个章节，50余万字。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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  5101

• HCPLab-SYSU/Fine-Grained-Image-Captioning

  The pytorch implementation on “Fine-Grained Image Captioning with Global-Local Discriminative Objective”

  Language:Python4102

• jianmanlincjx/Ascend-Asccl

  Language:Python40

• tianshuichen/HSE

  Language:Python3200

• tianshuichen/ASCCL

  Language:Python10

• tianshuichen/CD-FER-Benchmark

  Language:Python1100

• tianshuichen/onnx

  Open standard for machine learning interoperability

  Language:PureBasic100

• tianshuichen/Realtime_Multi-Person_Pose_Estimation

  Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

  Language:Jupyter Notebook120