Muhammet Furkan Küpçü's starred repositories

LLMs-from-scratch

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

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cog-face-to-many

Turn any face into a video game character, pixel art, claymation, 3D or toy

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ComfyUI-3D-Pack

An extensive node suite that enables ComfyUI to process 3D inputs (Mesh & UV Texture, etc) using cutting edge algorithms (3DGS, NeRF, etc.)

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Stable-Diffusion

Stable Diffusion, SDXL, LoRA Training, DreamBooth Training, Automatic1111 Web UI, DeepFake, Deep Fakes, TTS, Animation, Text To Video, Tutorials, Guides, Lectures, Courses, ComfyUI, Google Colab, RunPod, NoteBooks, ControlNet, TTS, Voice Cloning, AI, AI News, ML, ML News, News, Tech, Tech News, Kohya LoRA, Kandinsky 2, DeepFloyd IF, Midjourney

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ComfyUI-AnimateDiff-Evolved

Improved AnimateDiff for ComfyUI and Advanced Sampling Support

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ComfyUI-Workflows-ZHO

我的 ComfyUI 工作流合集 | My ComfyUI workflows collection

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ComfyUI-Manager

ComfyUI-Manager is an extension designed to enhance the usability of ComfyUI. It offers management functions to install, remove, disable, and enable various custom nodes of ComfyUI. Furthermore, this extension provides a hub feature and convenience functions to access a wide range of information within ComfyUI.

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Auto-Photoshop-StableDiffusion-Plugin

A user-friendly plug-in that makes it easy to generate stable diffusion images inside Photoshop using either Automatic or ComfyUI as a backend.

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ComfyUI-KJNodes

Various custom nodes for ComfyUI

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openvdb

OpenVDB - Sparse volume data structure and tools

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python-training

Python training for business analysts and traders

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segment-anything-2

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.

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PyPOTS

A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation, classification, clustering, forecasting, & anomaly detection on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values

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awesome-LLM-game-agent-papers

A Survey on Large Language Model-Based Game Agents

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Interactive-LLM-Powered-NPCs

Interactive LLM Powered NPCs, is an open-source project that completely transforms your interaction with non-player characters (NPCs) in any game! 🎮🤖🚀

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ui-toolkit-manual-code-examples

Unity UI Toolkit documentation code examples

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LLM101n

LLM101n: Let's build a Storyteller

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ComfyUI-PixelArt-Detector

Generate, downscale, change palletes and restore pixel art images with SDXL.

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ComfyUI-text-overlay

Overlay text on an image in ComfyUI with font/alignment/placement customization

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industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

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IsaacGymEnvs

Isaac Gym Reinforcement Learning Environments

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minRF

Minimal implementation of scalable rectified flow transformers, based on SD3's approach

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3D-Vision-and-Touch

When told to understand the shape of a new object, the most instinctual approach is to pick it up and inspect it with your hand and eyes in tandem. Here, touch provides high fidelity localized information while vision provides complementary global context. However, in 3D shape reconstruction, the complementary fusion of visual and haptic modalities remains largely unexplored. In this paper, we study this problem and present an effective chart-based approach to fusing vision and touch, which leverages advances in graph convolutional networks. To do so, we introduce a dataset of simulated touch and vision signals from the interaction between a robotic hand and a large array of 3D objects. Our results show that (1) leveraging both vision and touch signals consistently improves single-modality baselines, especially when the object is occluded by the hand touching it; (2) our approach outperforms alternative modality fusion methods and strongly benefits from the proposed chart-based structure; (3) reconstruction quality boosts with the number of grasps provided; and (4) the touch information not only enhances the reconstruction at the touch site but also extrapolates to its local neighborhood.

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ByteTrack

[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box

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notebooks

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

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sports

computer vision and sports

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LivePortrait

Bring portraits to life!

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