kebitmatf
I'm a post-doc research in Nondestructive Testing. And currently interested in Artificial Intelligence and Deep Learning.
South of Korea
Pinned Repositories
android_guides
Extensive Open-Source Guides for Android Developers
arm_nn_examples
How to run deep learning model on microcontroller with CMSIS-NN
awesome-deep-learning-papers
The most cited deep learning papers
awesome-deeplearning-resources
Deep Learning and deep reinforcement learning research papers and some codes
awesome-model-quantization
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
awesome-rl
Reinforcement learning resources curated
Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
AWR1642-Read-Data-Python-
difflogic
A Library for Differentiable Logic Gate Networks
meshzoo
Some examples for mesh generation in Python
kebitmatf's Repositories
kebitmatf/difflogic
A Library for Differentiable Logic Gate Networks
kebitmatf/awesome-deeplearning-resources
Deep Learning and deep reinforcement learning research papers and some codes
kebitmatf/awesome-model-quantization
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
kebitmatf/Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
kebitmatf/Best_AI_paper_2020
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
kebitmatf/bindsnet
Simulation of spiking neural networks (SNNs) using PyTorch.
kebitmatf/blog
for code created as part of http://studywolf.wordpress.com
kebitmatf/CAMERAS
kebitmatf/course-content
kebitmatf/deepxde
Deep learning library for solving differential equations and more
kebitmatf/distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
kebitmatf/InfraredSolarModules
kebitmatf/iphys-toolbox
A MATLAB toolbox for iPPG analysis. The toolbox includes implementations of commonly used methods.
kebitmatf/keywish-hummer-bot-v2.0
kebitmatf/learnopencv
Learn OpenCV : C++ and Python Examples
kebitmatf/LLM-FineTuning-Large-Language-Models
LLM (Large Language Model) FineTuning
kebitmatf/Merlin
NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in production.
kebitmatf/MetaRec
PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models (IN PROGRESS)
kebitmatf/ml_notebooks
Machine learning notebooks
kebitmatf/MWTool
A debug tool for developers to visualize the raw data of Maxustech mw series radar.
kebitmatf/Physics-Informed-Neural-Networks
Investigating PINNs
kebitmatf/pytorch-styleguide
An unofficial styleguide and best practices summary for PyTorch
kebitmatf/RAdam
On the Variance of the Adaptive Learning Rate and Beyond
kebitmatf/Recommender-System-Collaborative-Filtering-MovieLens
Implementing user-based and item-based collaborative filtering algorithms on MovieLens dataset and comparing the results.
kebitmatf/scientific-python-lectures
Lectures on scientific computing with python, as IPython notebooks.
kebitmatf/SOHbenchmark
A code library and benchmark study on SOH estimation of lithium-ion battery
kebitmatf/study-group
Syllabus, schedule, resources etc. for TinyML study group
kebitmatf/TensorDiffEq
Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing
kebitmatf/tinyml-papers-and-projects
This is a list of interesting papers and projects about TinyML.
kebitmatf/XPINNs_TensorFlow-2
XPINN code written in TensorFlow 2 (2x to 3x times faster than TensorFlow 1 code)