Pinned Repositories
3dresnet_mlcv
caffe
Caffe: a fast open framework for deep learning.
coco-json-converter
COCO Json converter python script for DAVIS 2016
cpp_learn
darknet
Convolutional Neural Networks
davis-2017
Package containing helper functions for loading and evaluating DAVIS https://graphics.ethz.ch/~perazzif/davis
db_project
Deep-Clustering-for-Speech-Separation
Pytorch implements Deep Clustering: Discriminative Embeddings For Segmentation And Separation
dmadhitama.github.io
faster_rcnn_keras
faster RCNN keras step by step implementation
dmadhitama's Repositories
dmadhitama/3dresnet_mlcv
dmadhitama/caffe
Caffe: a fast open framework for deep learning.
dmadhitama/coco-json-converter
COCO Json converter python script for DAVIS 2016
dmadhitama/cpp_learn
dmadhitama/darknet
Convolutional Neural Networks
dmadhitama/davis-2017
Package containing helper functions for loading and evaluating DAVIS https://graphics.ethz.ch/~perazzif/davis
dmadhitama/db_project
dmadhitama/Deep-Clustering-for-Speech-Separation
Pytorch implements Deep Clustering: Discriminative Embeddings For Segmentation And Separation
dmadhitama/dmadhitama.github.io
dmadhitama/faster_rcnn_keras
faster RCNN keras step by step implementation
dmadhitama/git_folder
expe
dmadhitama/hello-world
dmadhitama/OCR-opencv-tesseract
Python program for OCR with option to select custom Region of Interest without specifying coordinates
dmadhitama/PTGREY-cameras-with-python
These files explain how to use 'ptgrey' cameras with python. I felt the need to make this because there is not even an introductory code (to take a picture using ptgrey cameras) is available on internet. take_a_photo.py is the basic code people usually need but I have added links to a few possible helpful links.
dmadhitama/pykaldi
A Python wrapper for Kaldi
dmadhitama/fl-obj-det-yolo
dmadhitama/Singing-Voice-Separation
dmadhitama/whisper
Robust Speech Recognition via Large-Scale Weak Supervision
dmadhitama/yolov5_obb
yolov5 + csl_label.(Oriented Object Detection)（Rotation Detection）（Rotated BBox）基于yolov5的旋转目标检测