mac-ml-speed-test
mrdbourke
A few quick scripts focused on testing TensorFlow/PyTorch/Llama 2 on macOS.
모델 학습, 평가, 추론 프레임워크를 찾고 커뮤니티의 관심도를 비교하세요.
mrdbourke
A few quick scripts focused on testing TensorFlow/PyTorch/Llama 2 on macOS.
The models of action recognition with pytorch
msmsajjadi
Frame-Recurrent Video Super-Resolution (official repository)
mtyylx
Udacity Machine Learning Nano Degree Courses
mufeili
Literature of deep learning for graphs in Chemistry and Biology
Amazing Machine Learning Open Source Tools and Projects for the Past Year (v.2019)
mzc421
使用Pytorch框架对NLP方向上的文本分类、实体识别、三元组抽取做代码实战
NACLab
NGC-Learn: Computational Neuroscience and NeuroAI in Python
NanoNets
NanoNets OCR API Example for Python
nanoporetech
Megalodon is a research command line tool to extract high accuracy modified base and sequence variant calls from raw nanopore reads by anchoring the information rich basecalling neural network output to a reference genome/transriptome.
naver
CLaF: Open-Source Clova Language Framework
Learn to map surrounding vehicles onto a bird's eye view of the scene.
NegatioN
PyTorch conversion of https://omoindrot.github.io/triplet-loss
neurosim
Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)
Programming Machine Learning - Elixir Livebooks
nicklashansen
Voice Activity Detection (VAD) using deep learning.
nicolasj92
A curated list of datasets, publically available for machine learning research in the area of manufacturing
My PyTorch implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described here: http://research.microsoft.com/pubs/226585/cikm2014_cdssm_final.pdf.
nlpbook
Applied Natural Language Processing in the Enterprise - An O'Reilly Media Publication
nmilosev
Unofficial PyTorch and torchvision builds for ARM devices
noahho
Semi-automatic feature engineering process using Language Models and your dataset descriptions. Based on the paper "LLMs for Semi-Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering" by Hollmann, Müller, and Hutter (2023).
noegroup
Boltzmann Generators and Normalizing Flows in PyTorch
northfoxz
A smart camera app using react-native and tensorflow
notsodubeyous
Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset