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IMvision12/README.md

Hi there, I'm Gitesh ๐Ÿ‘‹

Typing SVG

Portfolio LinkedIn Kaggle X


๐ŸŽฏ About Me

Coding

๐Ÿค– AI/ML Engineer, building & shipping models ๐Ÿงฉ Author of KerasFormers & Trinix ๐Ÿ… 2ร— Kaggle Expert ๐Ÿค— Open-source contributor, Hugging Face & Keras ๐ŸŒ Based in: Fullerton, USA

I'm an AI/ML engineer who builds open-source libraries that make modern models easy to use, from pretrained Keras 3 model collections to Triton-accelerated PyTorch layers. I work across computer vision, LLMs, RAG, and agentic AI, and I love turning research into clean, reusable code.

โœจ Highlights

  • ๐Ÿ“ฆ Author of KerasFormers, Keras 3 pretrained models across Vision, LLM, VLM, Depth & Speech
  • โšก Built Trinix, Triton-accelerated PyTorch layers with automatic fallback optimization
  • ๐Ÿ… 2ร— Kaggle Expert
  • ๐Ÿค— Contributor to Hugging Face (Transformers, Diffusers) and the Keras ecosystem (keras-cv, keras-hub)
  • ๐Ÿง  Implemented SOTA vision models in Keras/TF: SegFormer, ConvNeXt, NextViT, YOLO


๐Ÿ“Š GitHub Analytics

GitHub Stats GitHub Streak
Contribution Graph

๐Ÿ› ๏ธ Tools & Technology

Python C++ JavaScript PyTorch TensorFlow Keras scikit-learn Hugging Face LangChain vLLM TensorRT bitsandbytes Groq NumPy Pandas PIL OpenCV MySQL MongoDB Oracle Flask React GraphQL AWS Lambda Amazon S3 API Gateway Cognito AppSync CloudWatch Secrets Manager GitHub GitHub Actions CI/CD MLOps LLMOps VS Code Jupyter Google Colab

๐Ÿš€ Featured Projects

๐Ÿง  ML Libraries & Performance

Pretrained Models for Keras 3

An open-source Keras 3 collection of pretrained models spanning Vision, LLM, VLM, Depth, and Speech, backend-agnostic across TensorFlow, JAX, and PyTorch.

๐Ÿ”ฅ Highlights:

  • One API, multiple modalities
  • Runs on TF / JAX / PyTorch backends
  • Clean, reusable model implementations

โšก Tech Stack: Keras 3 JAX TensorFlow PyTorch

Triton-Accelerated PyTorch Layers

Drop-in PyTorch layers accelerated with custom Triton kernels, featuring automatic fallback optimization when a fast path isn't available.

๐Ÿ”ฅ Highlights:

  • Custom fused Triton kernels
  • Automatic fallback to native ops
  • Plug-and-play with torch.nn

โšก Tech Stack: Triton PyTorch CUDA

Keras Implementation of AdEMAMix

A faithful Keras / TensorFlow implementation of the AdEMAMix optimizer, a mixture of two EMAs for faster, more stable training.

๐Ÿ”ฅ Highlights:

  • Paper-accurate optimizer port
  • Drop-in keras.optimizers compatible
  • Reproducible training recipes

โšก Tech Stack: Keras TensorFlow

Run Hugging Face Models Locally

Browse the Hugging Face Hub, download with a click, and run detection, segmentation, depth, OCR, SAM, VLMs, ASR, TTS & diffusion fully locally. Your data never leaves your GPU.

๐Ÿ”ฅ Highlights:

  • No cloud, no upload, 100% local
  • Dozens of task types out of the box
  • One-click model download & run

โšก Tech Stack: Hugging Face PyTorch Local Inference

๐ŸŽจ Vision Models & Apps

Semantic Segmentation in TensorFlow

A clean TensorFlow / Keras implementation of SegFormer, efficient transformer-based semantic segmentation with hierarchical features.

๐Ÿ”ฅ Highlights:

  • Transformer encoder + lightweight MLP decoder
  • Reproducible training & inference
  • Readable, well-structured code

โšก Tech Stack: TensorFlow Keras Transformers

Drive Coding CLIs from Your Phone

Control any coding CLI from your phone via WhatsApp, Telegram, Discord, Slack, Teams, or Signal, code from anywhere, no laptop required.

๐Ÿ”ฅ Highlights:

  • Works with 6+ chat platforms
  • Bridges chat โ†” your terminal
  • Code on the go

โšก Tech Stack: TypeScript Node.js Chat APIs



github contribution snake



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  1. KerasFormers KerasFormers Public

    KerasFormers: Open-source Keras 3 collection of pretrained models across Vision, LLM, VLM, Depth, Speech, and more

    Python 11 1

  2. txtcode txtcode Public

    </> Code from your phone control any coding CLI via WhatsApp, Telegram, Discord, Slack, Teams, or Signal

    TypeScript 7

  3. localml-app localml-app Public

    Browse the HuggingFace Hub. Download with a click. Run locally: detection, segmentation, classification, depth, OCR, SAM, VLMs, ASR, TTS, diffusion. No cloud, no upload, your data never leaves yourโ€ฆ

    1

  4. trinix trinix Public

    Triton-accelerated PyTorch layers with automatic fallback optimization.

    Python 5 1

  5. yolo-keras yolo-keras Public

    Keras 3 implementation of YoloV5 and YoloV8

    Python

  6. AdEMAMix-Optimizer-Keras AdEMAMix-Optimizer-Keras Public

    A Keras 3 Implementation of AdEMAMix Optimizer

    Python 10 2