Pinned Repositories
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
amc
[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Attention-OCR
Visual Attention based OCR
Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
chinese_ocr
CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras
deep_ocr
make a better chinese character recognition OCR than tesseract
detectron2
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
keras
Deep Learning for humans
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
tensorflow
Computation using data flow graphs for scalable machine learning
fan945327815's Repositories
fan945327815/deep_ocr
make a better chinese character recognition OCR than tesseract
fan945327815/detectron2
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
fan945327815/keras
Deep Learning for humans
fan945327815/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
fan945327815/tensorflow
Computation using data flow graphs for scalable machine learning
fan945327815/Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
fan945327815/amc
[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
fan945327815/Attention-OCR
Visual Attention based OCR
fan945327815/Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
fan945327815/chinese_ocr
CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras
fan945327815/chineseocr
yolo3+ocr
fan945327815/ClassyVision
An end-to-end PyTorch framework for image and video classification
fan945327815/Coursera-ML-using-matlab-python
coursera吴恩达机器学习课程作业自写Python版本+MATLAB原版
fan945327815/CrowdDet
fan945327815/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，近30万字。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
fan945327815/easy_seq2seq
[unmaintained] go to https://github.com/suriyadeepan/practical_seq2seq
fan945327815/facenet
Face recognition using Tensorflow
fan945327815/imgaug
Image augmentation for machine learning experiments.
fan945327815/Mask_RCNN_Pytorch
Mask R-CNN for object detection and instance segmentation on Pytorch
fan945327815/mmdetection
OpenMMLab Detection Toolbox and Benchmark
fan945327815/models
Models and examples built with TensorFlow
fan945327815/OWOD
(CVPR 2021 Oral) Open World Object Detection
fan945327815/rude-carnie
Age/Gender detection in Tensorflow
fan945327815/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
fan945327815/tensorflow-speech-recognition
🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks
fan945327815/TensorFlow-Tutorials
Simple tutorials using Google's TensorFlow Framework
fan945327815/tpu
Reference models and tools for Cloud TPUs.
fan945327815/yolov3-channel-and-layer-pruning
yolov3 yolov4 channel and layer pruning, Knowledge Distillation 层剪枝，通道剪枝，知识蒸馏
fan945327815/yolov3-multigpu
train pytorch-yolov3 with multi GPU
fan945327815/yolov5
YOLOv5 in PyTorch > ONNX > CoreML > TFLite