ParseBench - A Document Parsing Benchmark for AI Agents

Archived — ML Intern is no longer maintained. Continue with HuggingChat.

AI agents running research on single-GPU nanochat training automatically

📷 Control USB Cameras from an app

The best ChatGPT that $100 can buy.

Optimize prompts, code, and more with AI-powered Reflective Optimization

A forecast using FastF1 package to predict race outcomes from qualifying data. Visual insights, model predictions, and performance explainability for F1 fans and ML enthusiasts.

🌿 dPrune: A Framework for Data Pruning

Data Selection for Speech Processing

A lightweight, powerful framework for multi-agent workflows

Automated Configuration of n8n, FastAPI & Cloudflare Tunnel on E2 Free Tier Google Cloud

A Model Context Protocol (MCP) server that provides access to the DBLP computer science bibliography database for Large Language Models.

A high-performance distributed file system designed to address the challenges of AI training and inference workloads.

PyTorch native post-training library

A user-friendly, efficient, and modern UI for the GCP Datastore Emulator, designed for ease of use without compromising on resource efficiency.

Calculate perplexity on a text with pre-trained language models. Support MLM (eg. DeBERTa), recurrent LM (eg. GPT3), and encoder-decoder LM (eg. Flan-T5).

Inference Llama 2 in one file of pure C

The AI Toolkit for TypeScript. From the creators of Next.js, the AI SDK is a free open-source library for building AI-powered applications and agents

A guidance language for controlling large language models.

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

Code and documentation to train Stanford's Alpaca models, and generate the data.

This project is deprecated. Check my new project ChatHub:

Self-Supervised Speech Pre-training and Representation Learning Toolkit

The React Framework

Implementation of ConvMixer for "Patches Are All You Need? 🤷"

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

The library for web and native user interfaces.

Supervised Multimodal Bitransformers for Classifying Images and Text

Analyzing COVID-19 Tweets via Transformer Models