snorkel by snorkel-team

A system for quickly generating training data with weak supervision

created at Feb. 26, 2016, 5:52 a.m.

Python

166 +0

5,809 +2

857 +0

GitHub
MMdnn by Microsoft

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

created at Aug. 16, 2017, 8:03 a.m.

Python

181 +0

5,797 +0

965 +0

GitHub
cleanrl by vwxyzjn

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

created at June 7, 2019, 4:31 p.m.

Python

38 +1

5,692 +41

642 +2

GitHub
keras-rl by keras-rl

Deep Reinforcement Learning for Keras.

created at July 2, 2016, 3:53 p.m.

Python

200 +0

5,526 +2

1,364 +0

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

5,400 +35

597 +2

GitHub
graph_nets by deepmind

Build Graph Nets in Tensorflow

created at Aug. 31, 2018, 8:19 a.m.

Python

225 +0

5,360 +1

782 +0

GitHub
scikit-opt by guofei9987

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

created at Dec. 5, 2017, 10:20 a.m.

Python

46 +0

5,284 +7

989 +1

GitHub
qiskit by Qiskit

Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.

created at March 3, 2017, 5:02 p.m.

Python

219 +1

5,261 +20

2,369 +7

GitHub
mlpack by mlpack

mlpack: a fast, header-only C++ machine learning library

created at Dec. 17, 2014, 6:16 p.m.

C++

184 +0

5,117 +11

1,607 +2

GitHub
causalml by uber

Uplift modeling and causal inference with machine learning algorithms

created at July 9, 2019, 2:08 a.m.

Python

86 +1

5,097 +14

780 +0

GitHub
Augmentor by mdbloice

Image augmentation library in Python for machine learning.

created at March 1, 2016, 6:29 p.m.

Python

123 +0

5,073 +2

866 +0

GitHub
mlxtend by rasbt

A library of extension and helper modules for Python's data analysis and machine learning libraries.

created at Aug. 14, 2014, 1:56 a.m.

Python

115 -1

4,909 +4

872 +3

GitHub
lightfm by lyst

A Python implementation of LightFM, a hybrid recommendation algorithm.

created at July 30, 2015, 8:34 a.m.

Python

87 +0

4,773 +4

691 +0

GitHub
lucid by tensorflow

A collection of infrastructure and tools for research in neural network interpretability.

created at Jan. 25, 2018, 5:41 p.m.

Jupyter Notebook

158 +0

4,673 +1

654 +0

GitHub
ignite by pytorch

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

created at Nov. 23, 2017, 5:31 p.m.

Python

59 +0

4,526 +2

617 +0

GitHub
geopandas by geopandas

Python tools for geographic data

created at June 27, 2013, 5:03 p.m.

Python

104 +0

4,519 +9

935 +1

GitHub
yellowbrick by DistrictDataLabs

Visual analysis and diagnostic tools to facilitate machine learning model selection.

created at May 18, 2016, 2:12 p.m.

Python

103 +0

4,293 +3

559 +0

GitHub
Cirq by quantumlib

A Python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.

created at Dec. 14, 2017, 11:41 p.m.

Python

193 +0

4,282 +8

1,020 +6

GitHub
sacred by IDSIA

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

created at March 31, 2014, 6:05 p.m.

Python

70 +0

4,254 +4

383 +1

GitHub
cuml by rapidsai

cuML - RAPIDS Machine Learning Library

created at Oct. 11, 2018, 3:45 p.m.

C++

76 +2

4,238 +5

533 +1

GitHub