Awesome List

Awesome Machine Learning

A curated list of awesome Machine Learning frameworks, libraries and software.

josephmisiti/awesome-machine-learning
List stars
74,596
README repos
887
Indexed repos
149
List commits
-
Forks
15,677
Open issues
23

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Latest scan 2026-10-17 10:50

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10 repos matching these filters.

Latest repo push 2026-10-17

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ray-project/ray

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

AI dev
Updated
2026-09-11
Lists
5 list mentions
First commit
2016-02-07
License
Apache-2.0
Issues
3,571 open
Forks
8,019
Commits
31,669 commits
Star growth, last 7 days
No 7-day history
Commit velocity, last 7 days
No 7-day history
dmlc/xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

Updated
2026-09-04
Lists
4 list mentions
First commit
2014-02-06
License
Apache-2.0
Issues
430 open
Forks
8,891
Commits
7,994 commits
Star growth, last 7 days
No 7-day history
Commit velocity, last 7 days
No 7-day history
comet-ml/opik

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

AI dev
Updated
2026-10-16
Lists
11 list mentions
First commit
2024-09-02
License
Apache-2.0
Issues
189 open
Forks
1,864
Commits
7,548 commits
Star growth, last 7 days
+29 +0.1%
Commit velocity, last 7 days
+22 +0.3%
deeplearning4j/deeplearning4j

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...

Updated
2026-09-17
Lists
2 list mentions
First commit
2019-06-06
License
Apache-2.0
Issues
59 open
Forks
3,823
Commits
2,888 commits
Star growth, last 7 days
No 7-day history
Commit velocity, last 7 days
No 7-day history
catboost/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
2026-09-12
Lists
4 list mentions
First commit
2017-07-18
License
Apache-2.0
Issues
723 open
Forks
1,335
Commits
50,755 commits
Star growth, last 7 days
No 7-day history
Commit velocity, last 7 days
No 7-day history
BIDData/BIDMach

CPU and GPU-accelerated Machine Learning Library

Stack
Updated
2022-10-04
Lists
2 list mentions
First commit
2012-10-22
License
BSD-3-Clause
Issues
67 open
Forks
169
Commits
3,024 commits
Star growth, last 7 days
0 0.0%
Commit velocity, last 7 days
0 0.0%