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Pavan HEMMEGE VENKATAPPA's Projects

agentkit icon agentkit

Starter-kit to build constrained agents with Nextjs, FastAPI and Langchain

awesome-notebooks icon awesome-notebooks

A powerful data & AI notebook templates catalog: prompts, plugins, models, workflow automation, analytics, code snippets - following the IMO framework to be searchable and reusable in any context.

chatllm-web icon chatllm-web

🗣️ Chat with LLM like Vicuna totally in your browser with WebGPU, safely, privately, and with no server. Powered by web llm.

flame-fitting icon flame-fitting

Example code for the FLAME 3D head model. The code demonstrates how to sample 3D heads from the model, fit the model to 3D keypoints and 3D scans.

flowise icon flowise

Drag & drop UI to build your customized LLM flow

label-studio icon label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

learning3d icon learning3d

This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).

lilt icon lilt

Official PyTorch implementation of LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding (ACL 2022)

lobe-chat icon lobe-chat

🤯 Lobe Chat - an open-source, modern-design ChatGPT/LLMs UI/Framework. Supports speech-synthesis, multi-modal, and extensible plugin system. One-click FREE deployment of your private ChatGPT/Gemini/Ollama chat application.

mergekit icon mergekit

Tools for merging pretrained large language models.

n8n icon n8n

Free and source-available fair-code licensed workflow automation tool. Easily automate tasks across different services.

n8n-render icon n8n-render

Deploying n8n on Render (render.com) hosting, using separate Web Service (with Docker and Persistent Disk Storage) + Postgres DB.

pytorch-seq2seq icon pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

radtts icon radtts

Provides training, inference and voice conversion recipes for RADTTS and RADTTS++: Flow-based TTS models with Robust Alignment Learning, Diverse Synthesis, and Generative Modeling and Fine-Grained Control over of Low Dimensional (F0 and Energy) Speech Attributes.

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