Benchmarking Large Language Models.
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File Parser optimised for LLM Ingestion with no loss. Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.
CLI tool for debugging and benchmarking RAG retrieval. EXPLAIN ANALYZE for your retrieval layer.
Statistics, data mining and machine learning toolbox in Java.
A "machine learning framework to automate text-and voice-based conversations.".
Implementing a ChatGPT-like LLM from scratch, step by step.
Fast and simple framework for building and running distributed applications.
Ruby language bindings for LIBSVM which is a Library for Support Vector Machines.
A C library for product recommendations/suggestions using collaborative filtering (CF).
Bayesian optimization in high-dimensions via random embedding.
An LLM-powered repository agent designed to assist developers and teams in generating documentation and understanding repositories quickly.
Restricted Boltzmann Machines in Python. [DEEP LEARNING].
Extensible system for analyzing and manipulating natural language.
Deep learning based facial detector for Python coming with facial landmarks.
Reverse Engineering Resources is a GitHub repository or organization with source code, releases, documentation, or project resources.
Testing infrastructure for LLM and agentic applications with collaborative evaluation.
Robust Bayesian Optimization framework.
Open-source software for robot simulation, integrated with OpenAI Gym.
Text processing tools and wrappers (e.g. Vowpal Wabbit).
Open-source SDK for running LLMs and multimodal models on-device across iOS, Android, and cross-platform apps.
Fast MATLAB-syntax runtime with automatic CPU/GPU execution and fused array kernels.
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...).
A tool to help you configure, organize, log and reproduce experiments.
For calculating global feature importance using Shapley values.