6255 Open source projects that are alternatives of or similar to Numsca

Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.

nbconvert as a web service: Render Jupyter Notebooks as static web pages

Multiscale Geographically Weighted Regression (MGWR)

A short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)

📈 如何用深度强化学习自动炒股

Tutorials for Fall 2018

ASAP: Prioritizing Attention via Time Series Smoothing

What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.

本项目对中文版《动手学深度学习》中的代码进行了PyTorch实现并整理为PDF版本供下载

DEPRECATED 尝试使用中文文本训练RNN来产生中文小说。（No longer under maintanance.）

CS579: Online Social Network Analysis at the Illinois Institute of Technology

INTERSPEECH 2019 Tutorial Materials

A repo for data science related questions and answers

Here lies all the exercises I implement and share in my website

Using Keras and cats to visualize layers from CNNs

Programs for stock prediction and evaluation

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".

Python sample codes for robotics algorithms.

Code for the paper: Fighting Fake News: Image Splice Detection via Learned Self-Consistency

代码记录

Design-of-experiment (DOE) generator for science, engineering, and statistics

Shifting More Attention to Video Salient Objection Detection, CVPR 2019 (Best paper finalist & Oral)

This Repository contains the list of various Machine and Deep Learning related projects. Related code and data files are available inside this folder. One can go through these projects to implement them in real life for specific use cases.

Reading notes on the excellent "Designing Data-Intensive Applications"

Creates a learning-curve plot for Jupyter/Colab notebooks that is updated in real-time.

To make it easy to benchmark AI accelerators

Pandas tutorial for SciPy2015 and SciPy2016 conference

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

Predicting Forex Future Price with Machine Learning

All the ML algorithms, ML models are coded from scratch by pure Python/Numpy with the Math under the hood. It works well on CPU.

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

机器学习&深度学习资料笔记&基本算法实现&资源整理（ML / CV / NLP / DM...）

Cutout / Random Erasing implementation, especially for ImageDataGenerator in Keras

Natural Language Processing Tutorials(NLP) with Julia and Python

Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras 2.0+

A tutorial for Automatic Text Summarization using TextRank algorithm.

A New, Interactive Approach to Learning Python

torchtext使用总结，从零开始逐步实现了torchtext文本预处理过程，包括截断补长，词表构建，使用预训练词向量，构建可用于PyTorch的可迭代数据等步骤。并结合Pytorch实现LSTM.

Adversarial networks in TensorFlow

Notebooks for upcoming fastai book (draft / incomplete)

Understanding ML and deep learning through geometry

Jupyter notebook server extension to proxy web services.

KDD Cup 2020 Challenges for Modern E-Commerce Platform: Multimodalities Recall first place

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)

Deep learning for audio processing

这个项目是基于论文YOLO9000: Better, Faster, Stronger的keras（backend：tensorflow）实现

Repo that contains the supporting material for O'Reilly Webinar "An Intro to Predictive Modeling for Customer Lifetime Value" on Feb 28, 2017

Center Loss implementation with TensorFlow

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

Tensorflow相关教程

Variational Autoencoder for Dimensionality Reduction of Time-Series