o7s8r6 Goto Github PK

mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection.

modal

A modular active learning framework for Python3

model-productization_article

This is repo to demonstrate how to convert from Jupyter Notebook to scripts with some engineering practices

model_search

modeldb

A system to manage machine learning models

models

The ONNX Model Zoo is a collection of pre-trained, state-of-the-art models in the ONNX format

modern-nlp-in-python

momentum-trading-example

An example algorithm for a momentum-based day trading strategy.

mooc-setup

Information for setting up for the BerkeleyX Spark Intro MOOC, and lab assignments for the course

ms-ai-school

Microsoft AI School Program

msds621

Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning

multi-channel-attribution

Multi Channel Attribution

multi-speaker-tacotron-tensorflow

Multi-speaker Tacotron in TensorFlow. 오픈소스 딥러닝 다중 화자 음성 합성 엔진.

multimodal-fake-news-detection

Multi-Modal Fine-Grained Fake News Detection with Dialogue Summarization

music-recommendation-engine

Music Recommendation System

mxnet-model-server

Model Server for Apache MXNet is a tool for serving neural net models for inference

my-infosec-awesome

My curated list of awesome links, resources and tools on infosec related topics

mylearn

named-entity-recognition

This is a tutorial about NER with traditional spaCy and spaCy transformers roBERTa

natural-language-generation

Generate natural sentences from stock updates

natural-language-generation-using-lstm-keras

Natural Language Generation using LSTM-Keras

nd889

Udacity Artificial Intelligence Nanodegree

netron

Visualizer for neural network, deep learning and machine learning models

network-intrusion-detection-using-machine-learning

A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach

neupy

NeuPy is a Tensorflow based python library for prototyping and building neural networks

neural-combinatorial-optimization-rl-tensorflow

neural-combinatorial-rl-pytorch

PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940

neural-networks-and-deep-learning

This is my assignment on Andrew Ng's course “neural networks and deep learning”

neural-structured-learning

neuraltalk2

Efficient Image Captioning code in Torch, runs on GPU