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Grounding 3D CLIP embeddings in a NeRF for Real-Time Language Queries
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Grounding 3D CLIP embeddings in a NeRF for Real-Time Language Queries

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ElenaViewSynthesis/README.md

👋 23 and carving my tech path with "Learn, Unlearn, Relearn" as my compass.

🧠 Alignment • Reasoning • Multimodal LLMs • MoE • Mamba • Transformers • Attention Mechanisms • Foundation Models • DeepRL • RLHF • MMMM (4M) • Self-Supervised Learning (SSL) • Federated Learning • 3D Gaussian Splatting • LeRFs • Neural Rendering ......

👀 Keeping an eye on Q* and the latest Hugging Face models, applications, datasets, and research.

🌱 OS: Android | Windows | Ubuntu | Kali Linux

🥝 Tech Stack: Python, Pytorch, Java, C++, Ray, vLLM, LangChain, Go, Tensorflow, W&B, Prometheus, AWS Sagemaker, TensorRT-LLM

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  1. TavilyRAG TavilyRAG Public

    Fetch real-time data from web and store the sources/citations in Pinecone

    TypeScript

  2. RL-Army-of-Agents RL-Army-of-Agents Public

    RL agents across LangChain & LangGraph, 50+ MCP registry tools, PGVector stores, deployment w Dynamo and inference with vLLM & SGLang

    Python

  3. mamba_Selective_State_Modeling mamba_Selective_State_Modeling Public

    Forked from state-spaces/mamba

    Python

  4. 4dgs 4dgs Public

    Jupyter Notebook 1

  5. Fine-Grained-Knife-Classification-using-DCNN Fine-Grained-Knife-Classification-using-DCNN Public

    Jupyter Notebook

  6. LongLoRA LongLoRA Public

    Forked from JIA-Lab-research/LongLoRA

    Efficient long-context fine-tuning, supervised fine-tuning, LongQA dataset.

    Python