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🦜🔗 Build context-aware reasoning applications
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
🔊 Text-Prompted Generative Audio Model
Google Research
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…
Instruct-tune LLaMA on consumer hardware
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
A multi-voice TTS system trained with an emphasis on quality
面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版
Foundational Models for State-of-the-Art Speech and Text Translation
Public facing notes page
Official inference library for Mistral models
Build your neural network easy and fast, 莫烦Python中文教学
Visualizations for machine learning datasets
MiniCPM3-4B: An edge-side LLM that surpasses GPT-3.5-Turbo.
Reference models and tools for Cloud TPUs.
Tacotron 2 - PyTorch implementation with faster-than-realtime inference
Fast and flexible AutoML with learning guarantees.
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts…
The hub for EleutherAI's work on interpretability and learning dynamics
Tutorials and implementations for "Self-normalizing networks"
Working, locally-running, low-cost implementation of Generative Agents: Interactive Simulacra of Human Behavior.
This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC …
Code for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe