5921 Open source projects that are alternatives of or similar to Deep3d

Web scraping to get articles for a given query. It returns an spreadsheet with titles, abstracts, doi and references of the article

Diseases Detection from NIH Chest X-ray data

We used Machine learning techniques to evaluate past data pertaining to the stock market and world affairs of the corresponding time period, in order to make predictions in stock trends. We built a model that will be able to buy and sell stock based on profitable prediction, without any human interactions. The model uses Natural Language Processing (NLP) to make smart “decisions” based on current affairs, article, etc. With NLP and the basic rule of probability, our goal is to increases the accuracy of the stock predictions.

searching large heterogenous data dumps with Universal Sentence Encoder

A Conversion tool to convert YOLO v3 Darknet weights to TF Lite model (YOLO v3 PyTorch > ONNX > TensorFlow > TF Lite), and to TensorRT (YOLO v3 Pytorch > ONNX > TensorRT).

Advanced Data Science, University of Illinois Spring 2017

Tensorflow实战学习笔记、代码、机器学习进阶系列

This is the research product of the thesis manifold Learning of Latent Space Vectors in GAN for Image Synthesis. This has an application to the research, name a facial recognition system. The application was developed by consulting the FaceNet model.

A workshop on data privacy methods for data scientists.

python notebooks accompanying the book Make Your Own GAN

INFO 490: Foundations of Data Science, offered in the Fall 2016 Semester at the University of Illinois

Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.

PyTorch implementation of BTS Depth Estimator

Machine Learning University: Accelerated Computer Vision Class

live code

🔤 Calculate average word embeddings (word2vec) from documents for transfer learning

A Los Angeles Times analysis of arrests of the homeless by the LAPD

Train a BERT model with TensorFlow 2.0 to automatically tag StackOverflow questions!

ChallengeHub开源的各大比赛baseline集合

자연어 처리와 관련한 여러 튜토리얼 저장소

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

Mask On-Off control with computer vision

Some articles written by Bao Jie

Implementation of "FastSpeech: Fast, Robust and Controllable Text to Speech"

Deep Attractor Network (DANet) for single-channel speech separation

This Repo Contains all the exercise files for Data Science Course of 365 Datascience . The repo is split into the relevant folders & there is one exercise folder which contains all the files of that course. Don't forget to star it :D

Algoritmos de aprendizado de máquina criados manualmente para maior compreensão das suas funcionalidades

A Python package to effortlessly assemble images in comparison figures. Supports LaTeX, PPTX, and HTML.

Comet Time Series Toolset for working with a time-series of remote sensing imagery and user defined polygons

TensorFlow Tutorial for Time Series Prediction

this is my presentaion area .个人演讲稿展示区，主要展示一些平时的个人演讲稿或者心得之类的，

Multilingual word vectors in 78 languages

天池智慧海洋 2019 https://tianchi.aliyun.com/competition/entrance/231768/introduction?spm=5176.12281949.1003.1.493e5cfde2Jbke

Python tutorials as Jupyter Notebooks for NLP, ML, AI

Code and data for the paper "A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes"

Deep reinforcement learning. In scikit-learn. In less than 50 effective lines.

Attention, I'm Trying to Speak: End-to-end speech synthesis (CS224n '18)

This a Deep learning AI system which recognize handwritten characters, Here I use chars74k data-set for training the model

Computer Vision Nanodegree program from Udacity

trRosetta for protein design

What Twitter reveals about the differences between cities and the monoculture of the Bay Area

Some notebooks

python笔记

Code Repository for the online course Feature Selection for Machine Learning

Open source project to deploy Keras Deep Learning models packaged as Docker containers on Kubernetes.

[ICML 2020] PyTorch Code for "Efficient Continuous Pareto Exploration in Multi-Task Learning"

A guide for setting up Spark + PySpark under Ubuntu linux

I will update this repository to learn Machine learning with python with statistics content and materials

Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

Robust segmentation of lung and airway in CT scans

Google Colab Notebook for Image and Video Style Transfer Using TensorFlow

Mastering-Python-Data-Analysis

Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC