Pinned Repositories
autodistill-florence-2
Use Florence 2 to auto-label data for use in training fine-tuned object detection models.
core
Prompt engineering, automated.
deepface
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Emu3
Next-Token Prediction is All You Need
Faster-R-CNN-with-model-pretrained-on-Visual-Genome
Faster RCNN model in Pytorch version, pretrained on the Visual Genome with ResNet 101
Grounded-SAM-2
Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO and SAM 2
haystack
:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
interpret
Fit interpretable models. Explain blackbox machine learning.
lancedb
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
MorganTitcher's Repositories
MorganTitcher/autodistill-florence-2
Use Florence 2 to auto-label data for use in training fine-tuned object detection models.
MorganTitcher/core
Prompt engineering, automated.
MorganTitcher/deepface
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
MorganTitcher/detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
MorganTitcher/Emu3
Next-Token Prediction is All You Need
MorganTitcher/Faster-R-CNN-with-model-pretrained-on-Visual-Genome
Faster RCNN model in Pytorch version, pretrained on the Visual Genome with ResNet 101
MorganTitcher/Grounded-SAM-2
Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO and SAM 2
MorganTitcher/haystack
:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
MorganTitcher/interpret
Fit interpretable models. Explain blackbox machine learning.
MorganTitcher/lancedb
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
MorganTitcher/llama-models
Utilities intended for use with Llama models.
MorganTitcher/MorganTitcher
MorganTitcher/llama-stack
Model components of the Llama Stack APIs
MorganTitcher/llama-stack-apps
Agentic components of the Llama Stack APIs
MorganTitcher/LLaVA-NeXT
MorganTitcher/MetaTransformer
Meta-Transformer for Unified Multimodal Learning
MorganTitcher/mirascope
LLM abstractions that aren't obstructions
MorganTitcher/music_source_separation
MorganTitcher/OmniBind
MorganTitcher/openmpf-components
OpenMPF components that have licenses compatible with Apache 2.0
MorganTitcher/pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
MorganTitcher/pytorchvideo
A deep learning library for video understanding research.
MorganTitcher/ray
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.
MorganTitcher/SALMONN
SALMONN: Speech Audio Language Music Open Neural Network
MorganTitcher/spacy-dbpedia-spotlight
A spaCy wrapper for DBpedia Spotlight
MorganTitcher/uni2ts
[ICML2024] Unified Training of Universal Time Series Forecasting Transformers
MorganTitcher/uss
This is the PyTorch implementation of the Universal Source Separation with Weakly labelled Data.