Pinned Repositories
caffe
Caffe: a fast open framework for deep learning.
caffe2
This is currently an experimental refactoring of Caffe.
chinese-ocr
运用tensorflow实现自然场景文字检测,keras/pytorch实现crnn+ctc实现不定长中文OCR识别
conference
DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
DeepCTR-Torch
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
DeepInterestNetwork
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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
DeepLearningZeroToAll
TensorFlow Basic Tutorial Labs
tensorflow
Computation using data flow graphs for scalable machine learning
sigmajiangcn's Repositories
sigmajiangcn/DeepLearningZeroToAll
TensorFlow Basic Tutorial Labs
sigmajiangcn/chinese-ocr
运用tensorflow实现自然场景文字检测,keras/pytorch实现crnn+ctc实现不定长中文OCR识别
sigmajiangcn/conference
sigmajiangcn/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
sigmajiangcn/DeepCTR-Torch
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
sigmajiangcn/DeepInterestNetwork
sigmajiangcn/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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
sigmajiangcn/DIN-pytorch
PyTorch Implementation of Deep Interest Network for Click-Through Rate Prediction
sigmajiangcn/eat_tensorflow2_in_30_days
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
sigmajiangcn/euler
A distributed graph deep learning framework.
sigmajiangcn/futuquant
富途量化平台 API
sigmajiangcn/GA-DSI
sigmajiangcn/git
Git Source Code Mirror - This is a publish-only repository and all pull requests are ignored. Please follow Documentation/SubmittingPatches procedure for any of your improvements.
sigmajiangcn/LINE
LINE: Large-scale information network embedding
sigmajiangcn/lstm
Minimal, clean example of lstm neural network training in python, for learning purposes.
sigmajiangcn/MNIST
Mnist Learn
sigmajiangcn/models
Models built with TensorFlow
sigmajiangcn/models-1
Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）
sigmajiangcn/Paddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
sigmajiangcn/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
sigmajiangcn/pythonbooks
sigmajiangcn/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
sigmajiangcn/pywFM
pywFM is a Python wrapper for Steffen Rendle's factorization machines library libFM
sigmajiangcn/reinforcement-learning-code
sigmajiangcn/series
sigmajiangcn/sigmajiangcn.github.io
blog home page
sigmajiangcn/tensorboard
TensorFlow's Visualization Toolkit
sigmajiangcn/tensorflow-tutorial
Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment.
sigmajiangcn/transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.
sigmajiangcn/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow