6000 Open source projects that are alternatives of or similar to Entailment With Tensorflow

PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.

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Detecting Text in Natural Image with Connectionist Text Proposal Network (ECCV'16)

INFO 490: Advanced Data Science, offered in the Spring 2016 Semester at the University of Illinois

李宏毅 (Hung-Yi Lee) 機器學習 Machine Learning 2021 Spring

NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

This Repository contains all tensorflow tutorials.

Demo images for use in try.jupyter.org and tmpnb.org

Sound analysis/synthesis tools for music applications

ETL with Python - Taught at DWH course 2017 (TAU)

使用mxnet编写的kaggle CIFAR10比赛的代码

2017-CCF-BDCI-企业经营退出风险预测：9th/569 (Top 1.58%)

Learning Heuristics for the TSP by Policy Gradient

Custom classification algorithm to sense the bots vs human on social media space like twitter

Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.

Python code for "Multivariable Feedback Control"

A guide for binary class sentiment analysis of tweets.

Computer aided detection using Faster-RCNN

Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuous transformations groups (ICML 2019). Paper: https://arxiv.org/abs/1901.11399

Simulations of photonic quantum programmable gate arrays

PyTorch Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"

深度学习的实战项目

A collection of Jupyter/IPython notebooks

Simple data visualization on Covid-19 data using Pandas and Google Colaboratory

Toxic Comment Classification Challenge, 12th place solution https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge

Materials for a course at NYU Stern using Python to study economic and financial data.

Embed strange attractors using a regularizer for autoencoders

Poloniex bundle for zipline

Implementation of the Sliced Wasserstein Autoencoders

SABR model Python implementation

数据挖掘竞赛(Kaggle,Data Castle,Analytics Vidhya,DrivenData)入门实践

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

This is the notebook associated with the blog post:

Reproduce research from paper "Predicting the direction of stock market prices using random forest"

Kaggle Toxic Comments Challenge

Machine Learning with sklearn tutorials (for Pearson)

Full-stack data project

My Attempt(s) In The World Of ML/DL....

This is the code for "Google Dopamine (LIVE)" by Siraj Raval on Youtube

基于各种机器学习和深度学习的中文微博情感分析

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

A collection of examples for the ML.NET machine learning package from Microsoft

Code for the ICCV 2019 paper "Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation"

计算机视觉项目实战

CV 方向论文阅读以及手写代码实现

Geophysical Tutorials column for 2018

Contrastive Code Representation Learning: functionality-based JavaScript embeddings through self-supervised learning

Code for calculating the upper bound AP in object detection

Hacktoberfest 2020. Don't forget to spread love and if you like give me a ⭐️

This is the code for "Quantum Machine Learning LIVE" By Siraj Raval on Youtube

Plotnine replication of Financial Times Visual Vocabulary; Inspired by Vega

A repo of the Data Scientist team's open source predictive models.

Learn how to add data validation and documentation to a data pipeline built with dbt and Airflow.

Contribute for hacktoberfest 2020

[Book-2019] Pragmatic AI: An Introduction to Cloud-based Machine Learning

This is a collection of some of the important machine learning algorithms which are implemented with out using any libraries. Libraries such as numpy and pandas are used to improve computational complexity of algorithms