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2023-paper-fun's Projects

open_flamingo icon open_flamingo

An open-source framework for training large multimodal models.

otter icon otter

🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following ability and in-context learning.

paad icon paad

[RA-L'22] Proactive Anomaly Detection for Robot Navigation with Multi-Sensor Fusion

pyllama icon pyllama

LLaMA: Open and Efficient Foundation Language Models

pypd icon pypd

This python package allows the user to retrieve the wavefront aberrations in an optical system using the powerful tool of Phase Diversity, and use the PSF (MTF) to restore aberrated data.

rpg_mpc icon rpg_mpc

Model Predictive Control for Quadrotors with extension to Perception-Aware MPC

salt icon salt

Segment Anything Labelling Tool

tcp-ip-protocol icon tcp-ip-protocol

The implementation of Dobot robot to remote control through TCP/IP protocol, which CR/MG400/M1Pro products.

tello-sandbox icon tello-sandbox

Sandbox of scripts and tests programming the Tello Drone in Python

toolbench icon toolbench

An open platform for training, serving, and evaluating large language model for tool learning.

transformers icon transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

tsai icon tsai

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

visual_navigation icon visual_navigation

Code for end to end deep learning based visual navigation for navigating agricultural fields.

yolor icon yolor

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

yolov5 icon yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

yolox icon yolox

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

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