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johntang93's Projects

augmentor icon augmentor

Image augmentation library in Python for machine learning.

awesome-pytorch-list icon awesome-pytorch-list

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

caffe icon caffe

Caffe: a fast open framework for deep learning.

caffe2 icon caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

caffe_ocr icon caffe_ocr

主流ocr算法研究实验性的项目,目前实现了CNN+BLSTM+CTC架构

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deeplearning-500-questions icon 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[email protected] 版权所有,违权必究 Tan 2018.06

detectron icon detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

enet icon enet

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

external-attention-pytorch icon external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

imgaug icon imgaug

Image augmentation for machine learning experiments.

interview icon interview

2020秋招 计算机视觉算法岗面经整理——包含实习和校招等 内推整理

leetcodeanimation icon leetcodeanimation

Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)

map icon map

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

mnist-cnn icon mnist-cnn

Convolutional neural networks with Python 3

multimodalocr icon multimodalocr

On the Hidden Mystery of OCR in Large Multimodal Models (OCRBench)

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