Skip to content
View animikhaich's full-sized avatar
🎯
Learning & Improving
🎯
Learning & Improving
54 followers · 41 following

Achievements

Achievement: YOLOAchievement: StarstruckAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor
BetaSend feedback

Achievements

Achievement: YOLOAchievement: StarstruckAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor
BetaSend feedback
Block or Report

Block or report animikhaich

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
animikhaich/README.md

Typing SVG

🧐 About Me

status status

👋 Hi there! I'm Animikh and I'm a Machine Learning Engineer, who loves to watch Anime and play Video Games. I'm also a MS in AI student working with Prof. Eshed Ohn-Bar on end-to-end Autonomous Driving @ H2X Lab.

Before this, I was a Computer Vision Engineer and Lead @ Wobot.ai, where I spearheaded the development of a robust Deep Learning tech stack, that powers real-time video analytics across hundreds of cameras worldwide today.

I ❤️ to build and believe Multi-Modal Self-Supervised Learning is the path to AGI 🤫. I focus on Generative AI, Autonomous Driving, Scene Understanding and 3D Vision.

I'm always open to new opportunities and a nice chat ☕. Feel free to reach out to me on LinkedIn or [email protected].

💻 Tech Stack

Visual Studio Code Sublime Text Linux macOS Windows

Python C++ TensorFlow PyTorch Keras OpenCV NumPy scikit-learn mlflow Matplotlib Flask

AWS Azure Git Docker

📊 Stats

trophy GitHub Streak Logo Logo

🔗 Socials

LinkedIn Twitter Discord ResearchGate Stack Overflow Gmail Instagram Facebook

Pinned

  1. No-Code-Classification-Toolkit No-Code-Classification-Toolkit Public

    Containerized Tensorflow-based image classification training utility with Streamlit-based interface designed to choose between common architectures and optimizers for quick hyperparameter tuning.

    Python 7 3

  2. 3D-Text2LIVE 3D-Text2LIVE Public

    Zero-shot, text-driven appearance manipulation on multiple views of an object to generate 3D renderings.

    Python 2 1

  3. VGGNet-Tensorflow VGGNet-Tensorflow Public

    VGGNet-Family (11, 13, 16 & 19) Implementation to train on ImageNet 2012 using Tensorflow 2.x

    Jupyter Notebook 4 1

  4. Semantic-Segmentation-using-AutoEncoders Semantic-Segmentation-using-AutoEncoders Public

    Lightweight and Fast Person Segmentation using Autoencoders (Trained Weights Included)

    Jupyter Notebook 18 7

  5. ECG-Atrial-Fibrillation-Classification-Using-CNN ECG-Atrial-Fibrillation-Classification-Using-CNN Public

    This is a CNN based model which aims to automatically classify the ECG signals of a normal patient vs. a patient with AF and has been trained to achieve up to 93.33% validation accuracy.

    Jupyter Notebook 47 18

  6. Deep-Convolutional-Background-Subtractor Deep-Convolutional-Background-Subtractor Public

    End-to-end CNN-based Autoencoder that can segment any objects even if it is out of the classes present in the training set.

    Jupyter Notebook 4 1