5921 Open source projects that are alternatives of or similar to R C3d

Deep Learning / NLP tutorial for Chatbot Developers

List of tech resources future me and other Javascript/Ruby/Python/Elixir/Elm developers might find useful

A python tutorial on bayesian modeling techniques (PyMC3)

虾神的Python示例代码库

机器学习、深度学习的学习路径及知识总结

Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops

Virtual Clothing Try-on with Deep Learning. PyTorch reproduction of SwapNet by Raj et al. 2018. Now with Docker support!

fastai V2 implementation of Timeseries classification papers.

A Python package for exploring and analysing genetic variation data

ENet - A Neural Net Architecture for real time Semantic Segmentation

Materials for an online-course - "Practical XGBoost in Python"

Tools for using a variational auto-encoder for latent image encoding and generation.

CS198-96: Intro to Neurotechnology @ UC Berkeley

Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.

Deep Reinforcement Learning for de-novo Drug Design

Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python and scala)

A collection of deep learning frameworks ported to Keras for face analysis.

Beautiful charting of pandas.DataFrame with Highcharts

公众号：早起Python

Oxford Deep NLP 2017 course - Practical 1: word2vec

pandas中文教程

Open source ultrasound processing modules and building blocks

PyTorch Implementation of Deformable Convolution

Urban Informatics and Visualization (UC Berkeley CP255)

Statistics and Accepted paper list with arXiv link of EMNLP-IJCNLP 2019

Materials for PyCon 2017 presentation on optimizing Pandas code

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

Çeşitli kütüphaneler kullanılarak Türkçe kod açıklamalarıyla TEMEL SEVİYEDE pratik derin öğrenme uygulamaları.

Segment-CNN: A Framework for Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs

A fast, extensible, transparent python library for backtesting quantitative strategies.

A repo for new open source contributors to begin with open source contribution. Contribute and earn awesome swags.

code for reading and processing Allen Institute for Brain Science data

source{d} datasets ("big code") for source code analysis and machine learning on source code

OpenCV in Python for lane line and vehicle detection/tracking in autonomous cars

Visualising LIDAR data from KITTI dataset.

Build a CNN network to predict 3D bounding box of car from 2D image.

[tutorial]A functional, Data Science focused introduction to Python

🎄 Virtual DOM for Python

Learn Python, Easy to learn, Awesome

Getting start with PySpark and MLlib

[DEPRECATED] An IPython notebook-compatible Javascript/HTML viewer for matplotlib animations

Scripts/Notebooks used for my articles published on Medium

Notes and Summaries on ML-related Research Papers (with optional implementations)

An electronic simulation library written in pure Python

Analysis scripts of things related to satellites

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

🍔

TensorFlow Tutorials

A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects

WACV18 paper "DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification"

Bayesian neural network using Pyro and PyTorch on MNIST dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

A collection of all my datasets

我的强化学习笔记和学习材料📖 still updating ... ...

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

Udacity Project - Vehicle Detection

A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution