8306 Open source projects that are alternatives of or similar to Deeppicar

Support content for my blog

M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.

Evaluation of the CNN design choices performance on ImageNet-2012.

《机器学习宝典》包含：谷歌机器学习速成课程（招式）+机器学习术语表（口诀）+机器学习规则（心得）+机器学习中的常识性问题 （内功）。该资源适用于机器学习、深度学习研究人员和爱好者参考！

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

Data Augmentation For Object Detection

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

🌲 Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.

This classifier use Convolution Neural Network approch for kaggle problem to classify Cat vs Dog images.

Daily Dose of Neural Network that Everyone Needs

This is a tutorial for PyTorch Geometric on the YooChoose dataset

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

Respository for Open-Science modular microscope system.

Computer vision exercise with Python and OpenCV.

Face recognition to control servo lock using Raspberry Pi and OpenCV

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

Build an OCR for iOS apps

Keras implementation of the multi-channel cascaded architecture introduced in the paper "Brain Tumor Segmentation with Deep Neural Networks"

Notes and experiments to understand deep learning concepts

DeepLearning.AI TensorFlow Developer Professional Certificate Specialization

Create HTML profiling reports from pandas DataFrame objects

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

High Quality Monocular Depth Estimation via Transfer Learning

基于BP神经网络的自动驾驶模型车。包含收集数据、控制模型生成与在线/离线自动运行所需的程序。

Machine Reading Comprehension in Tensorflow

Face masks are crucial in minimizing the propagation of Covid-19, and are highly recommended or even obligatory in many situations. In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building.

Learn OpenCV : C++ and Python Examples

This is my Third Year Project for face recognition using OpenCV

A convolutional neural network implementation of a script that detects whether an individual is wearing a hardhat or not.

Tutorials for learning OpenCV in Python from Scratch

MTCNN with Motion Detection, on Raspberry Pi with Love

Code for my medium article

Binary Convolution Network for faster real-time processing in ASICs

Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)

MIVisionX toolkit is a comprehensive computer vision and machine intelligence libraries, utilities and applications bundled into a single toolkit.

Google Street View House Number(SVHN) Dataset, and classifying them through CNN

Some notebooks

Collection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥

Some interesting TensorFlow tutorials for beginners.

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

Neural Paiters

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

CNN image style transfer 🎨.

Here we are going to make some python projects during Quarantine time

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

🔩 Automatically script to setup and configure your NVIDIA Jetson [Nano, Xavier, TX2i, TX2, TX1, TK1] . This script run different modules to update, fix and patch the kernel, install ROS and other...

Visualisation tool for CNNs in pytorch

Generating multiple choice questions from text using Machine Learning.

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab

2018-JDDC大赛第4名的解决方案

Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.

A repo for new open source contributors to begin with open source contribution. Contribute and earn awesome swags.

A benchmark dataset for data-driven weather forecasting