nexemjail's Stars
DataTalksClub/mlops-zoomcamp
Free MLOps course from DataTalks.Club
T3m3z/spotprices2ha
Simple copy-paste approach to fetch data from api.spot-hinta.fi (see https://spot-hinta.fi) to Home Assistant. Includes simple sensors and UI elements to ease automation work.
localstack/localstack
💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
allenai/scispacy
A full spaCy pipeline and models for scientific/biomedical documents.
uber/manifold
A model-agnostic visual debugging tool for machine learning
flairNLP/flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)
aaronwangy/Data-Science-Cheatsheet
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
xLaszlo/datascience-fails
Collection of articles listing reasons why data science projects fail.
alexeygrigorev/datascience-recruitment-challenges
Home assignments for data science positions
slgero/testovoe
Home assignments for data science positions
classtviz/gachi_chime
ttzt/catalog_of_requirements_for_ai_products
The purpose of the catalog is to help data science teams to collect all the requirements to consider while building a ML model and productionizing it.
uncertainty-toolbox/uncertainty-toolbox
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
merkylove/aws_autoboosting_example
custom model in AWS Sagemaker example
rougier/numpy-100
100 numpy exercises (with solutions)
bplank/awesome-neural-adaptation-in-NLP
Awesome Neural Adaptation in Natural Language Processing. A curated list. https://arxiv.org/abs/2006.00632
RUCAIBox/RecBole
A unified, comprehensive and efficient recommendation library
getmoto/moto
A library that allows you to easily mock out tests based on AWS infrastructure.
NerdWalletOSS/kinesis-python
Low level, multiprocessing based AWS Kinesis producer & consumer library
jackroos/VL-BERT
Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".
google-research/albert
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
python-poetry/poetry
Python packaging and dependency management made easy
microsoft/nlp-recipes
Natural Language Processing Best Practices & Examples
facebookresearch/demucs
Code for the paper Hybrid Spectrogram and Waveform Source Separation
xuannianz/EfficientDet
EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow
zihangdai/xlnet
XLNet: Generalized Autoregressive Pretraining for Language Understanding
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
openai/gpt-2
Code for the paper "Language Models are Unsupervised Multitask Learners"
facebookresearch/XLM
PyTorch original implementation of Cross-lingual Language Model Pretraining.
NVIDIA/apex
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch