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labml

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

lanczosnetwork

Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark, ICLR 2019

latex-templates

A collection of LaTeX templates used for research, courses, and miscellanea.

lean

Lean Algorithmic Trading Engine by QuantConnect (C#, Python, F#)

learn-data-science-for-free

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in Twitter.

learn-python

📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.

learn-python3

Jupyter notebooks for teaching/learning Python 3

learn-to-select-data

Code for Learning to select data for transfer learning with Bayesian Optimization

learn_prompting

learndatascience

Open Content for self-directed learning in data science

learnfastai

All about Fast ai

learngit

learning git's full fledged feature

learning-deep-learning

Paper reading notes on Deep Learning and Machine Learning

learning-to-reweight-examples

Code for paper "Learning to Reweight Examples for Robust Deep Learning"

learnopencv

Learn OpenCV : C++ and Python Examples

lecture-python.notebooks

Notebooks for https://python.quantecon.org

libra

Fully automated machine learning in one-liners.

lightautoml

LAMA - automatic model creation framework

lightly

A python library for self-supervised learning on images.

lightning-flash

Collection of tasks for fast prototyping, baselining, finetuning and solving problems with deep learning.

limbo

A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++-11)

lime

Lime: Explaining the predictions of any machine learning classifier

lit

The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface.

llm_course_part_1

Course notebooks and all the code for the first LLM course.

lmms

Language Modelling Makes Sense - WSD (and more) with Contextual Embeddings

log-anomaly-detector

Log Anomaly Detection - Machine learning to detect abnormal events logs

loss-change-allocation

lsst-plasticc-classification-solution

Solution to LSST-PLAsTiCC photometric transient classification challenge

lstmvis

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

lung-segmentation

Segmentation of Lungs from Chest X-Rays using Fully Connected Networks