Kimi CLI is your next CLI agent.

A lightweight sandboxing tool for enforcing filesystem and network restrictions on arbitrary processes at the OS level, without requiring a container.

"RAG-Anything: All-in-One RAG Framework"

Deepagents is an agent harness built on langchain and langgraph. Deep agents are equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - making them well-equipped …

Environments for LLM Reinforcement Learning

Stanford CS234: Reinforcement Learning assignments and practices

This repo mainly contains CS234 (Spring 2024) assignment's coding problems

Atropos is a Language Model Reinforcement Learning Environments framework for collecting and evaluating LLM trajectories through diverse environments

Reference implementation for DPO (Direct Preference Optimization)

A language model programming library.

Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.

This repository contains demos I made with the Transformers library by HuggingFace.

Distribute and run LLMs with a single file.

Stable Diffusion web UI

Enforce the output format (JSON Schema, Regex etc) of a language model

Starter pack for NeurIPS LLM Efficiency Challenge 2023.

High accuracy RAG for answering questions from scientific documents with citations

You like pytorch? You like micrograd? You love tinygrad! ❤️

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Implementation of 🦩 Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch

Awesome-LLM: a curated list of Large Language Model

🦜🔗 The platform for reliable agents.

AI PDF chatbot agent built with LangChain & LangGraph

Locally run an Instruction-Tuned Chat-Style LLM

Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflow 2 and Pytorch.

Official PyTorch Implementation of CleanUNet (ICASSP 2022)

Book about interpretable machine learning

A set of numerical demonstrations in Excel to assist with teaching / learning concepts in probability, statistics, spatial data analytics and geostatistics. I hope these resources are helpful, Prof…