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MIT License
Created about 2 years ago
Updated about 2 years ago

kikirizki

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Repo ini berisi materi tentang pemelajaran dalam (deep learning) berbahasa Indonesia, materi didesain agar dapat dimengerti oleh siapa saja yang tidak memiliki pengetahuan di bidang matematika tetapi memiliki pengetahuan dasar tentang pemrograman

GRU_timeseries_forcasting

Multistep univariate time series forecasting using Gated Recurrent Unit.

Jupyter Notebook

tensorflow-nobazel

C++

pytorch_to_android-ncnn

Simple working example of pytorch model deployed on android device using ncnn

C++

face_analizer

Deep learning based face recognition, face detection, emotion recognition

Python

faceboxes_libtorch

Unofficial implementation of FaceBoxes: A CPU Real-time Face Detector with High Accuracy, in libtorch

Jupyter Notebook

DETRAC_dataset2Caltech_dataset

Script to convert DETRAC tracking dataset to Caltech pedestrian dataset

Python

pascalvoc2icdar

Convert label with Pascal VOC style to ICDAR 2015 label style

Python

DETRACdataset2MOT

Python

icdar_visualizer

ICDAR Dataset Visualization tool

Python

icdar2015_cropper

Tool for cropping icdar 2015 dataset to be used as recongition dataset

Python

nanogpt_cpp

C++

miniChatbot

The minimum implementation of chatbot using popular LLM model rewrite from ground up with simplicity in mind

Python

transformer

Minimalistic PyTorch implementation of transformer

Jupyter Notebook

icdar2pascalvoc_xml

Convert icdar dataset to pascal voc

kikirizki.github.io

einfo

compiledtensorflow

understanding_dynamic_relu

Detailed implementation of dynamic ReLU

Jupyter Notebook

kikirizki/deeplearning_dari_nol

kikirizki

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