catboost by catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

updated at May 4, 2024, 7:36 p.m.

192 +0

7,758 +7

1,147 -1

milvus by milvus-io

A cloud-native vector database, storage for next generation AI applications

updated at May 4, 2024, 7:28 p.m.

274 +0

26,997 +92

2,605 +15

gocv by hybridgroup

Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, and OpenCV Contrib.

updated at May 4, 2024, 7:22 p.m.

153 -1

6,310 +12

847 +0

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

updated at May 4, 2024, 7:20 p.m.

1,069 -1

20,714 -2

6,814 -3

pyqtgraph by pyqtgraph

Fast data visualization and GUI tools for scientific / engineering applications

updated at May 4, 2024, 7:06 p.m.

151 +0

3,687 +14

1,072 +5

python-recsys by ocelma

A python library for implementing a recommender system

updated at May 4, 2024, 7:02 p.m.

134 +0

1,471 +1

439 +0

ml5-library by ml5js

Friendly machine learning for the web! 🤖

updated at May 4, 2024, 6:51 p.m.

114 +0

6,361 +5

906 +0

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.

updated at May 4, 2024, 6:47 p.m.

938 +1

23,198 +24

4,508 +4

netron by lutzroeder

Visualizer for neural network, deep learning and machine learning models

updated at May 4, 2024, 6:42 p.m.

295 +0

26,176 +61

2,668 +1

einops by arogozhnikov

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

updated at May 4, 2024, 5:55 p.m.

68 +0

7,945 +18

335 +1

BentoML by bentoml

The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!

updated at May 4, 2024, 5:45 p.m.

73 +1

6,566 +22

739 +1

mlem by iterative

🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞

updated at May 4, 2024, 5:43 p.m.

25 +0

713 +1

42 +0

systemds by apache

An open source ML system for the end-to-end data science lifecycle

updated at May 4, 2024, 5:41 p.m.

92 +0

1,017 +0

450 +2

bokeh by bokeh

Interactive Data Visualization in the browser, from Python

updated at May 4, 2024, 5:37 p.m.

442 +0

18,856 +16

4,162 -3

retinaface by serengil

RetinaFace: Deep Face Detection Library for Python

updated at May 4, 2024, 5:02 p.m.

4 +0

961 +2

137 +1

data-science-ipython-notebooks by donnemartin

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

updated at May 4, 2024, 4:43 p.m.

1,619 +0

26,508 +31

7,728 +3

spaCy by explosion

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

updated at May 4, 2024, 4:40 p.m.

555 +0

28,787 +39

4,294 +7

rust-bert by guillaume-be

Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

updated at May 4, 2024, 4:23 p.m.

39 +0

2,429 +9

198 +1

gym by openai

A toolkit for developing and comparing reinforcement learning algorithms.

updated at May 4, 2024, 4:18 p.m.

1,063 +1

33,912 +31

8,553 +3

homemade-machine-learning by trekhleb

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

updated at May 4, 2024, 4:14 p.m.

940 +0

22,551 +13

3,997 +4