6335 Open source projects that are alternatives of or similar to Mixture Density Networks For Distribution And Uncertainty Estimation

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

Toolkit to Hack Your Deep Learning Models

This repo is deprecated, please use Deep Video Analytics which implements face recognition using TensorFlow and Facenet.

Representation learning for link prediction within social networks

파이썬Python 강의에 사용되는 소스코드Source Code와 강의 자료들을 모은 repository 입니다.

Documenting my python implementation of Andrew Ng's Machine Learning course

Pytorch implementation for LapSRN (CVPR2017)

Tacotron 2 - PyTorch implementation with faster-than-realtime inference

Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629

Explains nlp building blocks in a simple manner.

PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

Epipolar Transformers (CVPR 2020)

A collection of notebook to learn the Applied Predictive Modeling using Python.

STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)

Tutorial on "Modern Optimization Methods in Python"

Machine Learning and NLP: Text Classification using python, scikit-learn and NLTK

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

Structured Inference Networks for Nonlinear State Space Models

전 세계의 멋진 케라스 문서 및 튜토리얼을 한글화하여 케라스x코리아를 널리널리 이롭게합니다.

Guided Evolutionary Strategies

A crash course in six episodes for software developers who want to become machine learning practitioners.

Beaker Extensions for Jupyter Notebook

A python package that includes many methods for decoding neural activity

Deep Replay - Generate visualizations as in my "Hyper-parameters in Action!" series!

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

🍃 Using a Neural Network to improve web accessibility in JavaScript.

Python solutions to solve practical business problems.

《统计学习方法》（第一版）习题解答，在线阅读地址：https://datawhalechina.github.io/statistical-learning-method-solutions-manual

PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models

Code and Dataset for CVPR2020 "Dynamic Refinement Network for Oriented and Densely Packed Object Detection"

Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

Movie plots by genre tutorial at PyData Berlin 2016

Some practices about deep learning

PyTorch Implementation of "Large-Scale Image Retrieval with Attentive Deep Local Features"

Repositório para armazenamento de código e notebooks de postagens do blog e cursos.

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

Traffic Graph Convolutional Recurrent Neural Network

Crawl & visualize ICLR papers and reviews.

State-of-the-Art Language Modeling and Text Classification in Hindi Language

This is the code for "Predicting the Winning Team with Machine Learning" by Siraj Raval on Youtube

List of projects for 3d reconstruction

Ray tutorials from Anyscale

Contains files related to content and project of DSND

Jupyter notebooks and other materials developed for the Columbia course APMA 4300

Kaggle airbus ship detection challenge 21st solution

Exercises for the Analysis of Knowledge Graphs

Generating multiple choice questions from text using Machine Learning.

CNN image style transfer 🎨.

Presentation Materials for my "Sound Analysis with the Fourier Transform and Python" OSCON Talk.

Pytorch implementation of set transformer

Automatic Music Transcription with Deep Neural Networks

AIND Term 2 -- Lesson on Convolutional Neural Networks

Client side rendering of Jupyter notebooks

Deep learning based speech source separation using Pytorch

a toolkit for working with Oxford nanopore data

An implementation of the ideas from this paper https://arxiv.org/pdf/1803.10122.pdf

The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe Deep Learning Framework as an extension of Caffe source code published in 10/2015.

机器学习算法 基于西瓜书以及《统计学习方法》，当然包括DL。