smartyfh

langchain

🦜🔗 Build context-aware reasoning applications

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

OpenDevin

🐚 OpenDevin: Code Less, Make More

LLMs-from-scratch

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

llm.c

LLM training in simple, raw C/CUDA

qdrant

Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

haystack

:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

QAnything

Question and Answer based on Anything.

awesome-rl

Reinforcement learning resources curated

LMFlow

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

XAgent

An Autonomous LLM Agent for Complex Task Solving

DiT

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

gemma_pytorch

The official PyTorch implementation of Google's Gemma models

OOTDiffusion

Official implementation of OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on

alignment-handbook

Robust recipes to align language models with human and AI preferences

deep-rl-class

This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.

LLMDataHub

A quick guide (especially) for trending instruction finetuning datasets

pml2-book

Probabilistic Machine Learning: Advanced Topics

MAPIE

A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.

deep-learning-containers

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.

Awesome-LLM-Compression

Awesome LLM compression research papers and tools.

Awesome-LLM-for-RecSys

Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.

DeepExplain

A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)

Awesome-LLM-Uncertainty-Reliability-Robustness

Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models

awesome-hallucination-detection

List of papers on hallucination detection in LLMs.

CoLLiE

Collaborative Training of Large Language Models in an Efficient Way

CORE

CORE is a plug-and-play conversational agent for any recommender system.

ACL2023-Retrieval-LM.github.io

https://acl2023-retrieval-lm.github.io/

FactCHD

[IJCAI 2024] FactCHD: Benchmarking Fact-Conflicting Hallucination Detection

AnLLM