Stars
Decision trees, random and causal forests in Rust
A comprehensive guide to building RAG-based LLM applications for production.
The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.
Accessible large language models via k-bit quantization for PyTorch.
QLoRA: Efficient Finetuning of Quantized LLMs
Fast inference engine for Transformer models
OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset
Classifier for business and individual names
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (…
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
Repository for "Known Unknowns: Uncertainty Quality in Bayesian Neural Networks" paper.
Classification uncertainty using Bayesian neural networks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
Variational and semi-supervised neural network toppings for Lasagne
Repository for the main Dockerfile with the OpenWorm software stack and project-wide issues
Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained …