2515 Open source projects that are alternatives of or similar to Dltk

Mostly free resources for end-to-end machine learning engineering, including open courses from CalTech, Columbia, Berkeley, MIT, and Stanford (in alphabetical order).

News API without any API KEY

Exercises for hierarchical clustering with Python 3 and scipy as Jupyter Notebooks

Cookbook examples for the Insight Toolkit documented with Sphinx

Speech Recognition model based off of FAIR research paper built using Pytorch.

A clojure/clojurescript notebook application/-library based on Gorilla-REPL

Application of machine learning to the Coinbase (GDAX) orderbook

a python implementation of MC-CNN

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

Materials for the "AI on Kubernetes" tutorial at O'Reilly AI SF 2018

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

a lightweight js runtime for IOT（一个面向物联网的JS运行时）

Machine learning plugins for network traffic

Fever screening with IR & RGB cameras and Deep CNNs

An Unsupervised Graph-based Toolbox for Fraud Detection

The (un)official repository for my master thesis

Deep Learning over PyTorch

🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark

🚀 A Google Chrome / Firefox extension that blocks NSFW images from the web pages that you load using TensorFlow JS.

An implementation of DiscoGAN in tensorflow

Malware Data Science Reading Diary / Notes

Implementation of my paper "Real-time Document Localization in Natural Images by Recursive Application of a CNN."

Android library to draw beautiful and rich line charts.

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

Material for the EPFL master course "A Network Tour of Data Science", edition 2017.

R Package: Parallel Distance Matrix Computation using Multiple Threads

Learn advanced data science on real-life, curated problems

A python package for plotting animated and interactive bubble charts using Plotly

A tool to monitor everything you want. Clean, simple, extensible and in one place.

Self-organizing maps in Go

Official PyTorch implementation of paper "A Hybrid Compact Neural Architecture for Visual Place Recognition" by M. Chancán (RA-L & ICRA 2020) https://doi.org/10.1109/LRA.2020.2967324

A Julia machine learning framework

🎓 Jupyter notebooks from UFC data science course

simple tools for data cleaning in R

Lyrics-to-audio-alignement system. Based on Machine Learning Algorithms: Hidden Markov Models with Viterbi forced alignment. The alignment is explicitly aware of durations of musical notes. The phonetic model are classified with MLP Deep Neural Network.

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

An attempt at a PyTorch implimentation of "Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation"

Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow

A list of conferences connected with data worldwide.

.NET Interactive takes the power of .NET and embeds it into your interactive experiences. Share code, explore data, write, and learn across your apps in ways you couldn't before.

keras theano 验证码破解 字母+数字

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

Full HRV analysis of Arduino pulse sensor, using Python signal processing and time series techniques. Chaotic, Fourier, Wavelet, Regression, Neural Net.

Tensorflow Implementation of ChannelNets (NeurIPS 18)

The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior in the future month according to the purchase history and user information in the Santander dataset.

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

Unofficial tensorflow (tf) implementation of DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

Deep learning based denoiser for Cycles, Blender's physically-based production renderer.

A collection of 500+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML)

A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

An analytical cost model evaluating DNN mappings (dataflows and tiling).

Carefully curated resource links for data science in one place

COVID-19 Detection Using Chest X-Ray

🦉Data Version Control | Git for Data & Models | ML Experiments Management

Allstate Kaggle Competition ML Capstone Project

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

Open Machine Learning Course

ML.NET is an open source and cross-platform machine learning framework for .NET.