Kaggle developers (kaggledevs)

Kaggle developers

kaggledevs

Geek Repo

A collaborative organization for people who love Kaggle! We can discuss competitions, share ideas and meet people to form groups.

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Kaggle developers's repositories

google-research

Google Research

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NeurIPS19-SBDRL

Code for NeurIPS 2019 paper: "Symmetry-Based Disentangled Representation Learning requires Interaction with Environments" by H. Caselles-Dupré, M. Garcia-Ortiz and D. Filliat.

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openwhyd

💎 Like Pinterest, for Music

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operateGPT

🌟 Revolutionize Your Operations with One Sentence Automation: Utilizing large language models and Multi-Agents to generate operational copy, images, and videos with one-line requirements.

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AI-Expert-Roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2021

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articulate

A platform for building conversational interfaces with intelligent agents (chatbots)

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bottender

⚡️ A framework for building conversational user interfaces.

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CipherChat

A framework to evaluate the generalization capability of safety alignment for LLMs

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coco-annotator

:pencil2: Web-based image segmentation tool for object detection, localization and keypoints

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deepke

基于深度学习的开源中文关系抽取框架

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deeplearning-note

Deep Learning Note: tutorial, documentation, code links, etc...

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DRL4Recsys

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

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einops

Deep learning operations reinvented (for pytorch, tensorflow, chainer, gluon and others)

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ema

Explanatory Model Analysis. Explore, Explain and Examine Predictive Models

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exllama

A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights.

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facechain

FaceChain is a deep-learning toolchain for generating your Digital-Twin.

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kaggledevs.github.io

kaggledevs Worldwide Homepage

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make-sense

Free to use online tool for labelling photos. https://makesense.ai

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recognize-anything

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

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ShortGPT

🚀🎬 ShortGPT - Experimental AI framework for automated short/video content creation.

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simmc

With the aim of building next generation virtual assistants that can handle multimodal inputs and perform multimodal actions, we introduce two new datasets (both in the virtual shopping domain), the annotation schema, the core technical tasks, and the baseline models. The code for the baselines and the datasets will be opensourced.

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Skunks_Skool

Skunks Skool Tutorials

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STOVE

Anonymous ICLR 2020 Submission: Structured Object-Aware Physics Prediction for Video Modelling and Planning

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streaming

A Data Streaming Library for Efficient Neural Network Training

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uform

Multi-Modal AI inference library for Multi-Lingual Text, Image, and Video Search, Recommendations, and other Vision-Language tasks, up to 5x faster than OpenAI CLIP 🖼️ & 🖋️

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x11docker

Run GUI applications and desktops in docker. Focus on security.

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