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Namaste 🙏

I am Himanshu, a prefinal undergraduate at the National Institute of Technology Raipur (India), pursuing a B.Tech in Computer Science and Engineering. I am a full stack (MERN) web developer and a Machine Learning Enthusiast. I have been working with various traditional ML models and DL models such as Decision Trees, Random Forest, Gradient Boosted decision trees, ConvNets such as AlexNet, VGG and ResNets for CV and GRU, LSTM (and BidirectionalLSTM), Attention and Transformers for NLP.

I have been participating in various Kaggle competitions (and won few) and currently I am a Computer Vision Intern at Nference. I am interested in Machine Learning , particularly perception and interaction with 3D vision. I also do some CTF's too.

- 📫 How to reach me:

Himanshu's Kaggle Himanshu's Twitter Himanshu's Linkdein Himanshu's Github

- ⚡ Fun fact: I like studying ontology, aesthetics & psychology.

Himanshu maurya's Projects

04_battletank icon 04_battletank

An open-world head-to-head tank fight with simple AI, terrain, and advanced control system in Unreal 4. (ref: BT_URC) http://gdev.tv/urcgithub

ablemusicplayer icon ablemusicplayer

🎵 A Youtube Music like app with a Spotify like design - ad free and open source. Feel free to PR.

applied-ml icon applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

baselines icon baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

brax icon brax

Massively parallel rigidbody physics simulation on accelerator hardware.

competition-code icon competition-code

This repository contains code I wrote for all the competitions that I participated in

cs231n icon cs231n

My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition

deepmind-research icon deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

detectron2 icon detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

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