6013 Open source projects that are alternatives of or similar to Toolbox

my machine-learning tutorial

Short Tutorial to Probabilistic Graphical Models(PGM) and pgmpy

Tutorial: Natural Language Processing in Python

FC-DenseNet in PyTorch for Semantic Segmentation

An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.

Applying Reinforcement Learning in Quantitative Trading

Code repo for "LSTM Pose Machines" (CVPR'18)

Simple chat program that communicates using inaudible sounds

This repo will house all our course material and code snippets from the Introduction to Machine Learning Class

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Style Transfer as Optimal Transport

4 different recommendation engines for the MovieLens dataset.

Machine Learning for Algorithmic Trading, Second Edition - published by Packt

(ECCV 2020) RANSAC-Flow: generic two-stage image alignment

Tutorial Materials for ICCV19

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

An educational demonstration of breaking the Enigma machine

Примеры для курса "Программирование глубоких нейронных сетей на Python"

Unrolled Generative Adversarial Networks

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

A soil humidity level sensor based on ATTINY44. Uses capacitive sensing.

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

tensorflow implementation of Grad-CAM (CNN visualization)

摩拜单车爬虫

Sparse Variational Dropout, ICML 2017

Codes for weekly challenges on Deep Learning by Siraj

TensorFlow实战，使用LSTM预测彩票

Tutorial on GANs

My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

C# kernel for Jupyter

The Hunting ELK

Official repository for the paper F, B, Alpha Matting

Implementations for my blog post [here](https://medium.com/@TalPerry/deep-learning-the-stock-market-df853d139e02#.flflpo3xf)

A series of Jupyter notebooks and python files which stream audio from a microphone using pyaudio, then processes it.

These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

The code to reproduce results from paper "MultiFiT: Efficient Multi-lingual Language Model Fine-tuning" https://arxiv.org/abs/1909.04761

Master in Data Science Final Project

Python-based utility that uses supervised machine learning to detect phishing domains from the Certificate Transparency log network.

https://madewithml.com/

A simple tool for generating useful evaluation metrics and plots for machine learning models

Tensorflow tutorial for various Deep Neural Network visualization techniques

Two-talker Speech Separation with LSTM/BLSTM by Permutation Invariant Training method.

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

个人使用jupyter notebook整理的peter的《机器学习实战》代码，使其更有层次感，更加连贯，也加了一些自己的修改，以及注释

Graph Convolutional Networks for Temporal Action Localization (ICCV2019)

A newer more updated version of the prometheus anomaly detector (https://github.com/AICoE/prometheus-anomaly-detector-legacy)

Practical Exercises in TensorFlow 2.0 for Ian Goodfellows Deep Learning Book

Area-weighted venn-diagrams for Python/matplotlib