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Hi there šŸ‘‹ I'm Susant Achary

SSusantAchary

  • šŸ”­ Iā€™m a Data Explorer have worked extensively on
    • Large Scale Recommendation Systems & NLP
    • Computer Vision
    • Deep Learning
    • Android Dev(Occasionally), Edge Computing
  • šŸŒ± Iā€™m following technology & aimed to problem solving in
    • Healthcare
    • E-Commerce
    • Agriculture
    • Supply Chain
  • šŸ“« How to reach me: mail on [email protected]
  • šŸ˜„ Pronouns: Curious Soul, Tech Enthusiast
  • Writes on View on Medium

Skills

Susant's github stats

Show some ā¤ļø by starring some of the repositories!

Susant's Projects

vid2vid icon vid2vid

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

virtex icon virtex

Code for the paper "VirTex: Learning Visual Representations from Textual Annotations"

vision icon vision

Datasets, Transforms and Models specific to Computer Vision

vissl icon vissl

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

visualdl icon visualdl

A platform to visualize the deep learning process and result.

vllm icon vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

wave-apps icon wave-apps

Sample AI Apps built with H2O Wave. Maintained by the Wave core team.

wavegan icon wavegan

WaveGAN: Learn to synthesize raw audio with generative adversarial networks

whisper icon whisper

Robust Speech Recognition via Large-Scale Weak Supervision

xformers icon xformers

Hackable and optimized Transformers building blocks, supporting a composable construction.

yellowbrick icon yellowbrick

Visual analysis and diagnostic tools to facilitate machine learning model selection.

yolov4-cloud-tutorial icon yolov4-cloud-tutorial

This repository walks you through how to Build and Run YOLOv4 Object Detections with Darknet in the Cloud with Google Colab.

yolov5 icon yolov5

YOLOv5 in PyTorch > ONNX > CoreML > TFLite

zenml icon zenml

ZenML šŸ™: Build portable, production-ready MLOps pipelines. https://zenml.io.

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