sahilchachra/seti_image_classification_challenege

The competition ML4SETI was conducted by SETI long back in collaboration with IBM to work with signals from space to search for Extra Terrestrial life. This repository contains my solution to the problem statement of classifying signals into 7 classes.

👋  Hey there! I'm Sahil Chachra

👨🏻‍💻  About Me

💻  AI Engineer at SparkCognition.
💻  Former Deep Learning Engineer at Data Annotation Studio, Smart Mobility, TCS.
💻  Former Intern at Regional Remote Sensing Centre, ISRO.
🎓  Completed my Bachelors of Technology in Computer Science & Engineering in 2021.
🌱  Working in the field of Deep learning and Computer vision.
💬  Feel free to reach out to me for projects, or just for some interesting discussion.

Languages and Tools

🚀  OpenSource Contribution

• Ultralytics/Yolov3 - Fix ONNX inference code
• Ultralytics/Yolov5 - Fix FP32 TensorRT model export

📕  Medium Articles

• Comparative study — Using EfficientNetB0 to EfficientNetB7 as encoder in UNet
• Vanilla UNet vs UNet with EfficientNetB0 as Encoder
• Setting up Nvidia’s Jetson Nano : From Jetpack to YoloV5
• Run YoloV5s with TensorRT and DeepStream on Nvidia Jetson Nano
• Paper summary — Decoupled Weight Decay Regularization
• Paper Summary — What is being transferred in transfer learning?
• Paper Summary — torch.manual_seed(3407) is all you need
• Paper Summary — MetaFormer is Actually What You Need for Vision
• Dive into basics of GPU, CUDA & Accelerated programming using Numba in Python
• Video Analytics Dashboard for YoloV5 and DeepSort
• Intel OpenVINO in brief
• All you want, to get started with GStreamer in Python
• Paper Summary — Searching for TrioNet
• Paper Summary — Efficient Long Range Attention Network (ELAN)
• Paper Summary — RepVGG : Making VGG-style ConvNets Great Again
• Paper Summary — ShuffleNetv2 : Practical Guidelines for Efficient CNN Architecture Design
• Paper Summary — Deep Leakage from Gradients

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