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Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
A WebUI for Efficient Fine-Tuning of 100+ LLMs (ACL 2024)
Finetune Llama 3.1, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory
llama3.np is a pure NumPy implementation for Llama 3 model.
Resource list for generating JSON using LLMs via function calling, tools, CFG. Libraries, Models, Notebooks, etc.
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
Open-source observability for your LLM application, based on OpenTelemetry
Zero-Shot Speech Editing and Text-to-Speech in the Wild
GPU & Accelerator process monitoring for AMD, Apple, Huawei, Intel, NVIDIA and Qualcomm
Fastest network node embeddings in the west
🤯 Lobe Chat - an open-source, modern-design LLMs/AI chat framework. Supports Multi AI Providers( OpenAI / Claude 3 / Gemini / Ollama / Bedrock / Azure / Mistral / Perplexity ), Multi-Modals (Vision…
A collection of learning resources for curious software engineers
Record voice notes & transcribe, summarize, and get tasks
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
Machine Learning Engineering Open Book
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
Your AI second brain. Get answers to your questions, whether they be online or in your own notes. Use online AI models (e.g gpt4) or private, local LLMs (e.g llama3). Self-host locally or use our c…
An autoregressive character-level language model for making more things
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Neural Networks: Zero to Hero
Distribute and run LLMs with a single file.
🚀🧠💬 Supercharged Custom Instructions for ChatGPT (non-coding) and ChatGPT Advanced Data Analysis (coding).
Gen-AI Chat for Teams - Think ChatGPT if it had access to your team's unique knowledge.
Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines
Interact with your documents using the power of GPT, 100% privately, no data leaks
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.