5992 Open source projects that are alternatives of or similar to Scribe

Aulas da Escola de Inteligência Artificial de São Paulo

PyTorch tutorial for learners

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

Generating Captions for images using Deep Learning

Stock Price Prediction using Machine Learning Techniques

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

📃 **Unofficial** PyTorch Implementation of DA-RNN (arXiv:1704.02971)

Understanding and visualizing PyTorch Batching with LSTM

List of papers, code and experiments using deep learning for time series forecasting

How to build RNNs and LSTMs from scratch with NumPy.

Anomaly detection for temporal data using LSTMs

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

Official Python SDK for Hyperdash

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

Code for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe

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

Deep Learning with TensorFlow 2 and Keras, published by Packt

Create interactive webpages from Jupyter Notebooks

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

Data from the largest and longest measurement of online tracking.

Try to reproduce FaceShifter

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

Representing research papers as vectors / latent representations.

Pytho科学计算生态介绍的中文翻译，英文原文地址：

Deep learning for MIR

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).

Fast and memory-efficient clustering

Quantum Challenge problem sets

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

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

Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning

[ko] 패스트캠퍼스 강의 자료

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

PyData Cookbook Project

Practical Time-Series Analysis, published by Packt

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

🍇 Edit and execute code snippets in the browser using Jupyter kernels

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

Tensorflow 2.0 Notes 提供了TF2.0案例实战以及TF2.0基础实战，目标是帮助那些希望和使用Tensorflow 2.0进行深度学习开发和研究的朋友快速入门，其中包含的Tensorflow 2.0教程基本通过测试保证可以成功运行(有问题的可以提issue，笔记网站正在建设中)。

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

An interactive heatmap visualization built using D3.js

Toy car that drives itself using neural networks

A curated list of awesome Jupyter projects, libraries and resources

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

A stable algorithm for GAN training

Jupyter Notebooks with Deep Learning Tutorials

My personal notes, presentations, and notebooks on everything Deep Learning.

A workflow for creating and editing publication ready scientific reports and presentations, from one or more Jupyter Notebooks, without leaving the browser!

Bu çalışma araştırmalar yaparken benzerlerine rastlayıp iyileştirerek derlemeye çalıştığım ve derin öğrenme (deep learning) konusunda kısa bir özet ve bolca kaynak yönlendirmesi olan (hatta sonunda koca bir liste var) hızlıca konuya giriş yapılabilinmesi için gereklilikleri özetlemektedir. Lütfen katkı vermekten çekinmeyin 👽

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

FaceNet for face recognition using pytorch

꼼꼼한 딥러닝 논문 리뷰와 코드 실습

Solid data structure and algorithms

The Los Angeles Times' independent tally of coronavirus cases in California.

Convolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow

World Models with TensorFlow 2