Alex S. Liu (liu4lin)

liu4lin

Geek Repo

Company:basicAI

Location:Mountain View, CA

Home Page:www.linkedin.com/in/liu4lin

Twitter:@liu4lin

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Organizations
basicai

Alex S. Liu's repositories

Auto-GPT

An experimental open-source attempt to make GPT-4 fully autonomous.

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AutoShot

AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection - CVPR NAS 2023

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bevfusion

BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

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ChatGLM-6B

ChatGLM-6B:开源双语对话语言模型 | An Open Bilingual Dialogue Language Model

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Chinese-CLIP

Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

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CLIP

Contrastive Language-Image Pretraining

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ColossalAI

Making big AI models cheaper, easier, and scalable

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DeepSpeedExamples

Example models using DeepSpeed

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DINO

Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"

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dolly

Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

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E2FGVI

Official code for "Towards An End-to-End Framework for Flow-Guided Video Inpainting" (CVPR2022)

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face_recognition

The world's simplest facial recognition api for Python and the command line

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frame-interpolation

FILM: Frame Interpolation for Large Motion, In ECCV 2022.

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Grounded-Segment-Anything

Marrying Grounding DINO with Segment Anything & Stable Diffusion & BLIP & Whisper & ChatBot - Automatically Detect , Segment and Generate Anything with Image, Text, and Audio Inputs

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MOSS

An open-source tool-augmented conversational language model from Fudan University

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Open-Assistant

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

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open_clip

An open source implementation of CLIP.

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PySceneDetect

:movie_camera: Python and OpenCV-based scene cut/transition detection program & library.

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recognize-anything

Code for the Recognize Anything Model (RAM) and Tag2Text Model

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Segment-Everything-Everywhere-All-At-Once

Official implementation of the paper "Segment Everything Everywhere All at Once"

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stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

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summarize-from-feedback

Code for "Learning to summarize from human feedback"

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Text2LIVE

Official Pytorch Implementation for "Text2LIVE: Text-Driven Layered Image and Video Editing" (ECCV 2022 Oral)

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Track-Anything

Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.

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TransNetV2

TransNet V2: Shot Boundary Detection Neural Network

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trlx

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

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VideoX

VideoX: a collection of video cross-modal models

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Yolov5_DeepSort_Pytorch

Real-time multi-object tracker using YOLO v5 and deep sort

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