6371 Open source projects that are alternatives of or similar to Nas_fpn_tensorflow

简明 SSD 目标检测模型 keras version（交通标志识别 训练部分见 dev 分支）

🎨 Pytorch YOLO v5 训练自己的数据集超详细教程！！！ 🎨 (提供PDF训练教程下载）

FoveaBox: Beyond Anchor-based Object Detector

YOLOv2 trained against custom dataset

This repository walks you through how to Build and Run YOLOv4 Object Detections with Darknet in the Cloud with Google Colab.

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

FPGA-based neural network inference project with an end-to-end approach (from training to implementation to deployment)

Realistic Handwriting with Tensorflow

Keras Implementation of The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation by (Simon Jégou, Michal Drozdzal, David Vazquez, Adriana Romero, Yoshua Bengio)

Implementation of Deep Deterministic Policy Gradients using TensorFlow and OpenAI Gym

A seq2seq model that can correct spelling mistakes.

[ko] 패스트캠퍼스 강의 자료

Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes"

Detecting and counting small objects - Analysis, review and application to counting

ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite

Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in Keras framework.

A TensorFlow implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

Code release for "learning to find good correspondences" CVPR 2018

爬虫+数据分析实战项目

Quantum Challenge problem sets

Repository for coursera specialization Applied Data Science with Python by University of Michigan

Code release for "HashNet: Deep Learning to Hash by Continuation" (ICCV 2017)

Representing research papers as vectors / latent representations.

A beginner-friendly project to help you in open-source contributions. Made specifically for contributions in HACKTOBERFEST 2020! Hello World Programs and Algorithms! Please leave a star ⭐ to support this project! ✨

FaceNet for face recognition using pytorch

A collection of tools to collect and download various data.

Automatic image captioning model based on Caffe, using features from bottom-up attention.

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

This project implements a real-time image and video object detection classifier using pretrained yolov3 models.

Introduction to ML packages for the 6.86x course

线性代数笔记

A simpler version of the self-attention layer from SAGAN, and some image classification results.

Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

A tutorial for MNIST handwritten digit classification using sklearn, PyTorch and Keras.

Materials for a short course on convex optimization.

A Python Library for Document Layout Understanding

An enhanced interactive Shell for Common Lisp (based on the Jupyter protocol)

LargitData Course Material

Tools to participate in the ActivityNet Challenge 2016 (NIPSW 2016)

Implementation of the Vanilla CNN described in the paper: Yue Wu and Tal Hassner, "Facial Landmark Detection with Tweaked Convolutional Neural Networks", arXiv preprint arXiv:1511.04031, 12 Nov. 2015. See project page for more information about this project. http://www.openu.ac.il/home/hassner/projects/tcnn_landmarks/ Written by Ishay Tubi : ishay2b [at] gmail [dot] com https://www.l

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.

thor: C++ helper library, for deep learning purpose

python tutorial

PyData Cookbook Project

MAGIC (Markov Affinity-based Graph Imputation of Cells), is a method for imputing missing values restoring structure of large biological datasets.

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.

Data, Benchmarks, and methods submitted to the M5 forecasting competition

统计学习方法训练营课程作业及答案，视频笔记在线阅读地址：https://relph1119.github.io/statistical-learning-method-camp

Assignments and notes for the Self Driving Cars course offered by University of Toronto on Coursera

Run any standard Python code quality tool on a Jupyter Notebook