music-junkie's Stars
Ebazhanov/linkedin-skill-assessments-quizzes
Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers
tmzane/porkcron
🔏 Automatically renew SSL certificate for your Porkbun domain
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
ardanlabs/gotraining
Go Training Class Material :
go-simpler/env
🔍 Load environment variables into a config struct
tmzane/nextver
⏭️ A dead simple CLI tool that prints the next semantic version based on the last tag of your git repository
weaviate/weaviate
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
awslabs/multi-model-server
Multi Model Server is a tool for serving neural net models for inference
ivanpanshin/SupCon-Framework
Implementation of Supervised Contrastive Learning with AMP, EMA, SWA, and many other tricks
dmitryrpm/maxima-tests
Вопросы для собеседования на языке Golang
guotong1988/NL2SQL-RULE
Content Enhanced BERT-based Text-to-SQL Generation https://arxiv.org/abs/1910.07179
bhattbhavesh91/gpt-3-simple-tutorial
Generate SQL from Natural Language Sentences using OpenAI's GPT-3 Model
ai-forever/ru-gpts
Russian GPT3 models.
yandexdataschool/nlp_course
YSDA course in Natural Language Processing
codecrafters-io/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
NirantK/awesome-project-ideas
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
iamtrask/Grokking-Deep-Learning
this repository accompanies the book "Grokking Deep Learning"
mrdbourke/machine-learning-roadmap
A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
Tinkoff/voicekit-examples
Examples on how to use Tinkoff Voicekit
sic-rus-ai/stepik-dl-nlp
Материалы курса на Stepik "Нейронные сети и обработка текста"
lk-geimfari/awesomo
Cool open source projects. Choose your project and get involved in Open Source development now.
darius-khll/golang-developer-roadmap
Roadmap to becoming a Go developer in 2020
MunGell/awesome-for-beginners
A list of awesome beginners-friendly projects.
google-research/google-research
Google Research
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
EbookFoundation/free-programming-books
:books: Freely available programming books
sindresorhus/awesome
😎 Awesome lists about all kinds of interesting topics
google/eng-edu
gasparian/multiclass-semantic-segmentation
Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]
bentrevett/pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.