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CoreNet: A library for training deep neural networks
A playbook for systematically maximizing the performance of deep learning models.
LLM Transparency Tool (LLM-TT), an open-source interactive toolkit for analyzing internal workings of Transformer-based language models. *Check out demo at* https://huggingface.co/spaces/facebook/l…
🐢 Open-Source Evaluation & Testing for LLMs and ML models
AI powered one-click comprehensive docs from transcripts and text.
The best repository showing why transformers might not be the answer for time series forecasting and showcasing the best SOTA non transformer models.
A Native-PyTorch Library for LLM Fine-tuning
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
Generate textbook-quality synthetic LLM pretraining data
Build AI Assistants with memory, knowledge and tools.
A RWKV management and startup tool, full automation, only 8MB. And provides an interface compatible with the OpenAI API. RWKV is a large language model that is fully open source and available for c…
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
Data and tools for generating and inspecting OLMo pre-training data.
An awesome repository of local AI tools
Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need
Large Action Model framework to develop AI Web Agents
Docs & cook books for fine-tuning smaller models with the Hugging Face library
Curated list of chatgpt prompts from the top-rated GPTs in the GPTs Store. Prompt Engineering, prompt attack & prompt protect. Advanced Prompt Engineering papers.
Management of multiple Git SSH keys made easy
This repository contains demos I made with the Transformers library by HuggingFace.
Auto Data is a library designed for quick and effortless creation of datasets tailored for fine-tuning Large Language Models (LLMs).
Convert Compute And Books Into Instruct-Tuning Datasets (or classifiers)!
Implementation of popular ML algorithms from scratch
Infinity is a high-throughput, low-latency REST API for serving vector embeddings, supporting a wide range of text-embedding models and frameworks.
The Supabase for RAG - R2R lets you build, scale, and manage user-facing Retrieval-Augmented Generation applications in production.
⚗️ distilabel is a framework for synthetic data and AI feedback for AI engineers that require high-quality outputs, full data ownership, and overall efficiency.