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Chubb
- Bengaluru, Karnataka, India
- @naveenmarthala_
- https://naveenmarthala.substack.com/
Lists (19)
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AutoML frameworks
Data Logging
deep learning for tabular data
featrue selection
đź”® Future ideas
hackathon solutions
interpretable ml
Interpreting NLP models
interview preparation
learning DSA
Model Interpretation
NLP augmentation
null-imputation
pretrained-caption-models
RAG
some NLP stuff
tabular data preprocessing
trading
unknown ML algorithms
Stars
A docker compose file for deploying containers with nginx reverse proxy with letsencrypt for SSL certification.
The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.
TorchServe+Streamlit for easily serving your HuggingFace NER models
A full-fledged local k6 ecosystem a docker-compose up away
k6 extension to output real-time test metrics to an InfluxDB 2.x database.
Google Research
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
A C++ library for interacting with JSON.
Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks
A course on aligning smol models.
Cosmos is a world model development platform that consists of world foundation models, tokenizers and video processing pipeline to accelerate the development of Physical AI at Robotics & AV labs. C…
Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
Explore the forefront of AI innovation with this dedicated repository, housing cutting-edge examples and implementations. Dive into the latest advancements, stay ahead with groundbreaking applicati…
Tools for multi-label classification problems.
Attention is all you need implementation
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Code to compute permutation and drop-column importances in Python scikit-learn models
Bayesian Modeling and Probabilistic Programming in Python
Class-definition file and examples of usage for the OpenBT Python version.