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A light-weight and powerful meta-prompting, context engineering and spec-driven development system for Claude Code by TÂCHES.
My collection of Claude Code tools
An AI-powered tabular review tool for legal professionals. Ingest unstructured documents, define dynamic extraction columns, and query your data with an integrated analyst chat.
Guides and code illustrating how to use Isaacus AI models in practice to solve real problems.
[Main EMNLP'25] LLMs do Multi-Label Classification Differently
Vectorless, Reasoning-based RAG with AWS Bedrock - Port of PageIndex
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflo…
Mount Hugging Face Buckets and repos as local filesystems. No download, no copy, no waiting.
PaperBanana: Automating Academic Illustration For AI Scientists
Give you decision-ready references for the most common AI engineering problems
from vibe coding to agentic engineering - practice makes claude perfect
Give your agents the power of the Hugging Face ecosystem
AI agents running research on single-GPU nanochat training automatically
Official Repository of "LLM × DATA" Survey Paper
A structured template for building robust generative AI applications
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
Agentic DOCX Redlining Engine. Enables LLMs to read Word documents and inject native Track Changes (w:ins, w:del) and Comments without breaking formatting. Includes Model Context Protocol (MCP) Ser…
OpenExempt: A Diagnostic Benchmark for Legal Reasoning and a Framework for Creating Custom Benchmarks on Demand
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
Datasets for multi-label classification that are compatible with the BOOMER machine learning algorithm.
Analyzing syntactic induction failures in LLMs on math word problems using DLT scores and paraphrasing-based interventions.
Build Real-Time Knowledge Graphs for AI Agents
Grokking the Coding Interview: Patterns for Coding Questions Alternative
Evaluates to what extent LLMs signal correctly that they don't know the answer to a question