🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

A programming framework for agentic AI

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Parallel computing with task scheduling

A community driven list of useful Scala libraries, frameworks and software.

A powerful and user-friendly binary analysis platform!

High accuracy RAG for answering questions from scientific documents with citations

Accessible large language models via k-bit quantization for PyTorch.

Code samples from the "Python Cookbook, 3rd Edition", published by O'Reilly & Associates, May, 2013.

Simple PyTorch Tutorials Zero to ALL!

Implementation and experiments of graph embedding algorithms.

Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

CodeChecker is an analyzer tooling, defect database and viewer extension for static and dynamic analyzer tools.

A machine learning toolkit for log parsing [ICSE'19, DSN'16]

GraalPy – A high-performance embeddable Python 3 runtime for Java

A humble SublimeText package for exporting highlighted code as RTF or HTML

A wrapper script to build whole-program LLVM bitcode files

Numba extension for compiling Pandas data frames, Intel® Scalable Dataframe Compiler

Pytorch Implementation of DeepLog.

Efficient and general syntactical decoding for Large Language Models

Python module to modify bytecode

Python bytecode instrumentation library

H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks (KDD-2021)

AutoPruner: Transformer-based Call Graph Pruning (ESEC/FSE 2022, Research Track)

Explainable Neural Subgraph Matching with Graph Learnable Multi-hop Attention Networks

Python decorator to make the local variables of a function accessible after execution.