1511 Open source projects that are alternatives of or similar to Remo Python

Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/

Implementation of simple autoencoders networks with Keras

Deploying Keras models using TensorFlow Serving and Flask

Free to use online tool for labelling photos. https://makesense.ai

Automatic Differentiation Library for Computational and Mathematical Engineering

Fast anchor free Object Detection based on CenterNet (Objects As Points) and TTFNet (Training-Time-Friendly Network). Implemented in TensorFlow 2.4+.

Implementing Lambda Networks using Pytorch

PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.

Deepfakes Software For All

A tool for retrosynthetic planning

A paper list of object detection using deep learning.

How to train an object detection model easy for free

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

一个加载高清大图支持缩放的控件

GroupSoftmax cross entropy loss function for training with multiple different benchmark datasets

Flexible classic and NeurAl Retrieval Toolkit

LeagueAI software framework for League of Legends that provides information about the state of the game based on Image Recognition using OpenCV and Pytorch.

Single-Shot Refinement Neural Network for Object Detection, CVPR, 2018

Multi-object image datasets with ground-truth segmentation masks and generative factors.

Detecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using Convolutional Neural Networks' from Redmon and Angelova.

Acceleration package for neural networks on multi-core CPUs

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

datasets of natural language understanding and dialogue state tracking

Object classification with CIFAR-10 using transfer learning

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

CenterNet: Objects as Points in Tensorflow

White balance camera-rendered sRGB images (CVPR 2019) [Matlab & Python]

Labelbox is the fastest way to annotate data to build and ship computer vision applications.

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

A P300 online spelling mechanism for Emotiv headsets. It's completely written in Node.js, and the GUI is based on Electron and Vue.

Sarcasm detection on tweets using neural network

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Color tracking with OpenCV

A reproduction of growing neural cellular automata using PyTorch.

A PyTorch Detectron codebase for domain adaptation of object detectors.

Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"

Transitland's centralized web service API for both querying and editing aggregated transit data from around the world

Repo for 42 days project to replicate/improve Airbnb's amenity (object) detection pipeline.

Various CNN models for CIFAR10 with Chainer

Realtime mobile visualize based Object Detection based on TensorFlow and YOLO model

YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud (ECCV 2018)

Pytorch implementation of "AutoAssign: Differentiable Label Assignment for Dense Object Detection"

JeVois smart machine vision framework

Fast and Easy Infinite Neural Networks in Python

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".

Pytorch implementation of Block Neural Autoregressive Flow

Yolo (Real time object detection) model training tutorial with deep learning neural networks

An open source library for artificial neural networks.

An Echo State Network module for PyTorch.

Test Time image Augmentation (TTA) wrapper for Keras model.

Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)

Some experiments with object detection in PyTorch

PhotoStructure for Servers

PyTorch implementation of the Factorized TDNN (TDNN-F) from "Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks" and Kaldi

Object detection. EfficientDet-D5 level COCO AP in 20 epochs. SOTA single-stage detector on Waymo Open Dataset.

OpenCV trained detection models: Haar, HOG and other