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ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

the-algorithm

Source code for Twitter's Recommendation Algorithm

gpt-engineer

Specify what you want it to build, the AI asks for clarification, and then builds it.

google-research

Google Research

fastbook

The fastai book, published as Jupyter Notebooks

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

sentencepiece

Unsupervised text tokenizer for Neural Network-based text generation.

infinigen

Infinite Photorealistic Worlds using Procedural Generation

Data-Science-Cheatsheet

A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

ann-benchmarks

Benchmarks of approximate nearest neighbor libraries in Python

ControlNet-v1-1-nightly

Nightly release of ControlNet 1.1

albert_zh

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

notebooks

Notebooks using the Hugging Face libraries 🤗

DeBERTa

The implementation of DeBERTa

react-rainbow

🌈 React Rainbow Components. Build your web application in a snap.

recommenders

TensorFlow Recommenders is a library for building recommender system models using TensorFlow.

pet

This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"

tapas

End-to-end neural table-text understanding models.

scitldr

long-range-arena

Long Range Arena for Benchmarking Efficient Transformers

recmetrics

A library of metrics for evaluating recommender systems

moviebox

Machine learning movie recommending system

smore

SMORe: Modularize Graph Embedding for Recommendation

joint-kg-recommender

nlp-akash

Natural Language Processing notes and implementations.

sense-api.cr

python-sense

Recommendation-Systems

gpt-engineer

Specify what you want it to build, the AI asks for clarification, and then builds it.