Repository Index

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.

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...

• java
• gpu
• deeplearning
• neural-nets

The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

A fast inference library for running LLMs locally on modern consumer-class GPUs

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.

• federated-learning
• deep-learning
• distributed-training
• edge-ai

The repository provides code for running inference with the Meta Segment Anything Audio Model (SAM-Audio), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

The repository provides code for running inference with the SAM 3D Body Model (3DB), links for downloading the trained model checkpoints and datasets, and example notebooks that show how to use the model.

Code for running RFdiffusion

Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.

• text2image
• text-to-image

Using modified BiSeNet for face parsing in PyTorch

• face-parsing
• semantic-segmentation
• pytorch
• celeba-hq-dataset

The Fastest DNN Running Framework on Web Browser

• deep-neural-networks
• accelerate
• optimization
• javascript

An optimized quantization and inference library for running LLMs locally on modern consumer-class GPUs

Generate music based on natural language prompts using LLMs running locally

• ai
• llm
• machine-learning
• music

Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.

Whistle speech-to-text running fully on an ESP32-S3: hold a button, say a colour in one of 7 languages, the LED does it. No network.

• edge-ai
• esp32
• esp32-s3
• inmp441