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lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

minisom

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

model-analysis

Model analysis tools for TensorFlow

models

Models and examples built with TensorFlow

neuronblocks

NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego

nucleus

Python and C++ code for reading and writing genomics data.

nvidia-docker

Build and run Docker containers leveraging NVIDIA GPUs

object-detection-and-tracking

Object Detection and Multi-Object Tracking

open-balena

Open source software to manage connected IoT devices

opencv-python

Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.

pcedl

Wind Turbine Power Curve Estimation using Deep Learning methods

people-tracking

person_reid_baseline_pytorch

Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

python-1

Python script and Documents

pytorch101_odsc_europe2021

Beginner workshop on PyTorch - ODSC Europe 2021

pytorch_geometric

Graph Neural Network Library for PyTorch

rapid

RAPiD: Rotation-Aware People Detection in Overhead Fisheye Images (CVPR 2020 Workshops)

rocker

R configurations for Docker

sagemaker-python-sdk

A library for training and deploying machine learning models on Amazon SageMaker

sagemaker-spark

A Spark library for Amazon SageMaker.

sagemaker-tensorflow-container

This support code is used for making the TensorFlow framework run on Amazon SageMaker.

soft-sensor-modelling

Soft sensor modelling using multiple machine learning algorithms

spacy

💫 Industrial-strength Natural Language Processing (NLP) in Python

spark-nlp-workshop

Public runnable examples of using John Snow Labs' NLP for Apache Spark.

sparse_attention

Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

tensorflow

An Open Source Machine Learning Framework for Everyone

tensorflow-without-a-phd

A crash course in six episodes for software developers who want to become machine learning practitioners.

towards-realtime-mot

Joint Detection and Embedding for fast multi-object tracking