detectron2 by facebookresearch

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

created at Sept. 5, 2019, 9:30 p.m.

Python

390 -1

30,547 +67

7,488 +11

GitHub
mxnet by apache

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

created at April 30, 2015, 4:21 p.m.

C++

1,070 +1

20,782 +5

6,786 -1

GitHub
jieba by fxsjy

结巴中文分词

created at Sept. 29, 2012, 7:52 a.m.

Python

1,279 +0

33,350 +25

6,725 +3

GitHub
neural-networks-and-deep-learning by mnielsen

Code samples for my book "Neural Networks and Deep Learning"

created at Nov. 13, 2012, 1:38 p.m.

Python

1,100 +0

16,091 +25

6,604 +4

GitHub
ray by ray-project

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

created at Oct. 25, 2016, 7:38 p.m.

Python

474 +0

34,015 +115

5,780 +19

GitHub
Detectron by facebookresearch

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

created at Oct. 5, 2017, 5:32 p.m.

Python

940 +0

26,271 +7

5,452 +0

GitHub
kaldi by kaldi-asr

kaldi-asr/kaldi is the official location of the Kaldi project.

created at April 20, 2015, 5:23 p.m.

Shell

692 +0

14,286 +17

5,323 +1

GitHub
mindsdb by mindsdb

Platform for building AI that can learn and answer questions over federated data.

created at Aug. 2, 2018, 5:56 p.m.

Python

398 -1

26,805 +47

4,887 +12

GitHub
pytorch-image-models by huggingface

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

created at Feb. 2, 2019, 5:51 a.m.

Python

313 +0

32,280 +97

4,757 +2

GitHub
zipline by quantopian

Zipline, a Pythonic Algorithmic Trading Library

created at Oct. 19, 2012, 3:50 p.m.

Python

1,017 +0

17,718 +20

4,734 +3

GitHub
rasa by RasaHQ

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

created at Oct. 14, 2016, 12:27 p.m.

Python

356 +0

18,952 +34

4,637 +3

GitHub
ML-From-Scratch by eriklindernoren

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

created at Feb. 5, 2017, 12:11 p.m.

Python

939 +0

24,003 +23

4,596 +4

GitHub
introduction_to_ml_with_python by amueller

Notebooks and code for the book "Introduction to Machine Learning with Python"

created at May 29, 2016, 6:29 p.m.

Jupyter Notebook

367 +0

7,450 +2

4,565 -1

GitHub
sympy by sympy

A computer algebra system written in pure Python

created at April 30, 2010, 8:37 p.m.

Python

291 +0

13,004 +27

4,443 +9

GitHub
spaCy by explosion

💫 Industrial-strength Natural Language Processing (NLP) in Python

created at July 3, 2014, 3:15 p.m.

Python

562 -1

30,231 +72

4,400 +2

GitHub
gensim by piskvorky

Topic Modelling for Humans

created at Feb. 10, 2011, 7:43 a.m.

Python

430 +0

15,683 +24

4,380 +4

GitHub
ColossalAI by hpcaitech

Making large AI models cheaper, faster and more accessible

created at Oct. 28, 2021, 4:19 p.m.

Python

385 +1

38,804 +24

4,345 +4

GitHub
CNTK by Microsoft

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

created at Nov. 26, 2015, 9:52 a.m.

C++

1,250 +0

17,525 +5

4,282 -1

GitHub
bokeh by bokeh

Interactive Data Visualization in the browser, from Python

created at March 26, 2012, 3:40 p.m.

TypeScript

438 +1

19,371 +16

4,190 +3

GitHub
homemade-machine-learning by trekhleb

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

created at Nov. 1, 2018, 4:34 a.m.

Jupyter Notebook

938 -1

23,118 +21

4,070 +7

GitHub