vssousa's Stars
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
google-research/bert
TensorFlow code and pre-trained models for BERT
microsoft/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
chubin/wttr.in
:partly_sunny: The right way to check the weather
shap/shap
A game theoretic approach to explain the output of any machine learning model.
flairNLP/flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)
marcotcr/lime
Lime: Explaining the predictions of any machine learning classifier
ludwig-ai/ludwig
Low-code framework for building custom LLMs, neural networks, and other AI models
drivendataorg/cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
google/trax
Trax — Deep Learning with Clear Code and Speed
unit8co/darts
A python library for user-friendly forecasting and anomaly detection on time series.
sktime/sktime
A unified framework for machine learning with time series
MaartenGr/BERTopic
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
jdb78/pytorch-forecasting
Time series forecasting with PyTorch
deepchecks/deepchecks
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
mrdbourke/zero-to-mastery-ml
All course materials for the Zero to Mastery Machine Learning and Data Science course.
huggingface/optimum
🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools
vmware/pyvmomi
VMware vSphere API Python Bindings
twitter/communitynotes
Documentation and source code powering Twitter's Community Notes
pushshift/api
Pushshift API
MilaNLProc/contextualized-topic-models
A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).
redis/redis-om-python
Object mapping, and more, for Redis and Python
WillianFuks/tfcausalimpact
Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
bab2min/tomotopy
Python package of Tomoto, the Topic Modeling Tool
Isilon/isilon_sdk
Official repository for isilon_sdk. All language bindings are available for download under the 'Releases' tab.
CapitalOneRecruiting/DS
Isilon/isilon_stat_browser
OneFS Statistics Key Browser
ScottSyms/tileshade
Tile Web Service with Datashader
snap-research/NeurT-FDR
NeurT-FDR, a method for controlling false discovery rate by incorporating feature hierarchy
vssousa/bitsets
Ordered subsets over a finite domain