7196 Open source projects that are alternatives of or similar to Mish

Deep learning codes and projects using Python

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

🙄 Difficult algorithm, Simple code.

🐰 Python lib for remo - the app for annotations and images management in Computer Vision

🟣 Object detection of abstract shapes with neural networks

Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Best Practices, code samples, and documentation for Computer Vision.

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

Neural networks training pipeline based on PyTorch

🌓 Bringing pjreddie's DarkNet out of the shadows #yolo

A collection of Bayesian data analysis recipes using PyMC3

Deep Learning Specialization by Andrew Ng on Coursera.

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST

Computations and statistics on manifolds with geometric structures.

This repository provides train＆test code, dataset, det.&rec. annotation, evaluation script, annotation tool, and ranking.

猫狗大战

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

Support content for my blog

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.

Data Augmentation For Object Detection

ECCV 2020 论文开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2020开源项目

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

Lab Materials for MIT 6.S191: Introduction to Deep Learning

Image augmentation library in Python for machine learning.

Feature Pyramid Networks for Object Detection

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

Gluon CV Toolkit

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Detectorch - detectron for PyTorch

Efficient Learning of Augmentation Policy Schedules

Food Classification with Deep Learning in Keras / Tensorflow

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

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

TensorFlow models accelerated with NVIDIA TensorRT

Implementation of Quickdraw - an online game developed by Google

Experience, Learn and Code the latest breakthrough innovations with Microsoft AI

Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge

Implementation of the paper "A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels"

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

🎨 Artistic neural style transfer with tweaks (pytorch).

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

A photo OCR project aims to output DMS messages contained in sign structure images.

Aspect-Based Sentiment Analysis

Udacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier

PyTorch extensions for fast R&D prototyping and Kaggle farming

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

This repository contains easy SSD(Single Shot MultiBox Detector) implemented with Pytorch and is easy to read and learn

Daily Dose of Neural Network that Everyone Needs

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

Attempting to make the Deep Learning Book easier to understand.

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

This easy-to-use library splits images and its bounding box annotations into tiles, both into specific sizes and into any arbitrary number of equal parts. It can also resize them, both by specific sizes and by a resizing/scaling factor.

A collection of computer vision pre-trained models.

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)