synthia by dmey

πŸ“ˆ 🐍 Multidimensional synthetic data generation with Copula and fPCA models in Python

created at March 1, 2020, 6:04 p.m.

Python

3 +0

53 +0

9 +0

GitHub
MxNet.Sharp by deepakkumar1984

.NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#. https://mxnet.tech-quantum.com/

created at May 2, 2019, 2:14 a.m.

C#

13 +0

148 +0

8 +0

GitHub
go-ml-benchmarks by nikolaydubina

⏱ Benchmarks of machine learning inference for Go

created at Feb. 9, 2021, 10:20 a.m.

Go

3 +0

31 +0

2 +0

GitHub
DynaML by transcendent-ai-labs

Scala Library/REPL for Machine Learning Research

created at Feb. 16, 2015, 3:22 p.m.

Scala

18 +0

200 +0

51 +0

GitHub
bytehub by bytehub-ai

ByteHub: making feature stores simple

created at Feb. 9, 2021, 8:10 p.m.

Python

3 +0

58 +0

4 +0

GitHub
tensorjs by Hoff97

Deep learning for the Web

created at Dec. 30, 2020, 5:02 p.m.

TypeScript

3 +0

36 +0

2 +0

GitHub
backprop by backprop-ai

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

created at Oct. 30, 2020, 3:25 p.m.

Python

16 +0

242 +0

12 +0

GitHub
brushfire by stripe-archive

Distributed decision tree ensemble learning in Scala

created at Nov. 20, 2014, 6:47 p.m.

Scala

94 +0

391 +0

50 +0

GitHub
NDScala by SciScala

N-dimensional / multi-dimensional arrays (tensors) in Scala 3. Think NumPy ndarray / PyTorch Tensor but type-safe over shapes, array/axis labels & numeric data types

created at June 14, 2020, 1:57 p.m.

Scala

7 +0

47 +0

6 +0

GitHub
onnx-scala by EmergentOrder

An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning and classical machine learning in Scala 3

created at Aug. 15, 2018, 12:20 a.m.

JavaScript

8 +0

137 +0

8 +0

GitHub
wav2letter by flashlight

Facebook AI Research's Automatic Speech Recognition Toolkit

created at Nov. 20, 2017, 5:39 p.m.

C++

246 +0

6,369 +0

1,013 +0

GitHub
shapash by MAIF

πŸ”… Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

created at April 29, 2020, 7:34 a.m.

Jupyter Notebook

37 +0

2,714 +2

331 +0

GitHub
notebook by pink-gorilla

Web based Clojure notebook application/-library.

created at Jan. 11, 2017, 12:49 p.m.

Clojure

9 +0

103 +0

9 +0

GitHub
knn-java-library by felipexw

Just a simple implementation of K-Nearest Neighbour algorithm.

created at Aug. 29, 2016, 2:11 p.m.

Java

2 +0

7 +0

1 +0

GitHub
maze by enlite-ai

Maze Applied Reinforcement Learning Framework

created at Feb. 11, 2021, 8:26 a.m.

Python

6 +0

263 +0

12 -1

GitHub
evidently by evidentlyai

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

created at Nov. 25, 2020, 3:20 p.m.

Jupyter Notebook

48 +1

5,163 +35

576 +2

GitHub
ipychart by nicohlr

The power of Chart.js with Python

created at June 26, 2019, 3:41 p.m.

Python

2 +0

107 +0

10 +0

GitHub
Sklearn-genetic-opt by rodrigo-arenas

ML hyperparameters tuning and features selection, using evolutionary algorithms.

created at Jan. 18, 2020, 7:16 p.m.

Python

5 +0

306 +5

75 +1

GitHub
scikit-learn-intelex by intel

Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

created at Aug. 7, 2018, 6:45 a.m.

Python

30 +0

1,208 +1

173 +0

GitHub
IoT-Owl by Ret2Me

IoT owl is light face detection and recognition system made for small IoT devices like raspberry pi.

created at July 28, 2021, 3:15 p.m.

Python

1 +0

7 +0

2 +0

GitHub