dimagor's Stars
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
ByteByteGoHq/system-design-101
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
openai/gym
A toolkit for developing and comparing reinforcement learning algorithms.
stanfordnlp/dspy
DSPy: The framework for programming—not prompting—foundation models
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
jina-ai/clip-as-service
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
ludwig-ai/ludwig
Low-code framework for building custom LLMs, neural networks, and other AI models
facebookresearch/dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
rstudio/cheatsheets
Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.
evidentlyai/evidently
Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
uber/causalml
Uplift modeling and causal inference with machine learning algorithms
pytorch/captum
Model interpretability and understanding for PyTorch
FluxML/Flux.jl
Relax! Flux is the ML library that doesn't make you tensor
argilla-io/argilla
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
aws/aws-sdk-pandas
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
predibase/lorax
Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs
marcotcr/checklist
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
uber/manifold
A model-agnostic visual debugging tool for machine learning
cdpierse/transformers-interpret
Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
HumanSignal/Adala
Adala: Autonomous DAta (Labeling) Agent framework
FluxML/model-zoo
Please do not feed the models
carrot2/carrot2
Carrot2: Text Clustering Algorithms and Applications
glin/reactable
Interactive data tables for R
daturkel/learning-papers
Landmark Papers in Machine Learning
gadenbuie/xaringanExtra
:ferris_wheel: A playground of enhancements and extensions for xaringan slides.
rstudio/pins-r
Pin, discover, and share resources
dirkschumacher/ompr
R package to model Mixed Integer Linear Programs
lorenzwalthert/precommit
pre-commit hooks for R projects
juba/explor
Interfaces for Multivariate Analysis in R
aws/sagemaker-experiments
Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.