Stars
Training Sparse Autoencoders on Language Models
open source interpretability platform 🧠
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
AI-powered multi-agent system that automatically analyzes codebases and generates comprehensive documentation. Features GitLab integration, concurrent processing, and multiple LLM support for bette…
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI…
🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
Standard Go Project Layout
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
An open source implementation of CLIP.
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Reference BLEU implementation that auto-downloads test sets and reports a version string to facilitate cross-lab comparisons
A curated list of awesome self-supervised methods
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
State-of-the-Art Embeddings, Retrieval, and Reranking
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Data Version Control, or DVC, is a data and ML experiment management tool that takes advantage of the existing engineering toolset that we are familiar with (Git, CI/CD, etc.). DVC is meant to be r…
The OpenStreetMap editor driven by open data, AI, and supercharged features
Causal Graphical Models in Python
This is a guide to PySpark code style presenting common situations and the associated best practices based on the most frequent recurring topics across the PySpark repos we've encountered.