neon_course by NervanaSystems

neon tutorials

created at June 27, 2016, 3:45 p.m.

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GitHub
hdbscan by lmcinnes

A high performance implementation of HDBSCAN clustering. http://hdbscan.readthedocs.io/en/latest/

created at Aug. 31, 2016, 12:42 p.m.

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9 +0

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GitHub
skorch by skorch-dev

A scikit-learn compatible neural network library that wraps PyTorch

created at July 18, 2017, 12:13 a.m.

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GitHub
fastai by fastai

The fastai deep learning library

created at Sept. 9, 2017, 5:43 p.m.

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611 +0

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GitHub
BigDataAnalytics_INFOH515 by Yannael

Material for the Big Data Analytics exercise classes - INFOH515 - Big Data : Distributed Data Management and Scalable Analytics - Université Libre de Bruxelles

created at April 12, 2018, 7:57 a.m.

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GitHub
the-elements-of-statistical-learning by maitbayev

My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman

created at April 18, 2018, 7:51 p.m.

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GitHub
swift by tensorflow

Swift for TensorFlow

created at April 24, 2018, 7:18 p.m.

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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.

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GitHub
comet-examples by comet-ml

Examples of Machine Learning code using Comet.ml

created at Nov. 21, 2018, 6 p.m.

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GitHub
gan by tensorflow

Tooling for GANs in TensorFlow

created at April 29, 2019, 4:24 p.m.

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GitHub
tensorwatch by Microsoft

Debugging, monitoring and visualization for Python Machine Learning and Data Science

created at May 15, 2019, 8:29 a.m.

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GitHub
ml-workspace by ml-tooling

🛠 All-in-one web-based IDE specialized for machine learning and data science.

created at May 27, 2019, 4:55 p.m.

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GitHub
pycaret by pycaret

An open-source, low-code machine learning library in Python

created at Nov. 23, 2019, 6:40 p.m.

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131 +0

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GitHub
minigrad by kennysong

A minimal implementation of autograd (in pure Python) 🍰

created at April 23, 2020, 9 a.m.

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GitHub
shapash by MAIF

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

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

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36 +0

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GitHub
Hyperparameter-Optimization-of-Machine-Learning-Algorithms by LiYangHart

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

created at July 23, 2020, 3:30 a.m.

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GitHub
Data_visualization by Shanky-21

None

created at Aug. 8, 2020, 6:16 p.m.

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4 +0

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GitHub
Flight_Fare_Prediction by ShivamChoudhary17

Flight_Fare_Prediction

created at Sept. 28, 2020, 1:35 a.m.

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GitHub
Machine_learning by Shanky-21

You can Learn Basic Machine learning Techniques from here

created at Oct. 1, 2020, 9 a.m.

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GitHub
Heart_Disease by ShivamChoudhary17

Machine Learning

created at Oct. 9, 2020, 1:43 p.m.

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GitHub