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Gyanachand Panigrahi's Projects

streamlit icon streamlit

Streamlit — The fastest way to build data apps in Python

studybook icon studybook

Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)

stylegan2 icon stylegan2

StyleGAN2 - Official TensorFlow Implementation

super-gradients icon super-gradients

Easily train or fine-tune SOTA computer vision models with one open source training library

surya icon surya

Accurate line-level text detection and recognition (OCR) in any language

svoice icon svoice

We provide a PyTorch implementation of the paper Voice Separation with an Unknown Number of Multiple Speakers In which, we present a new method for separating a mixed audio sequence, in which multiple voices speak simultaneously. The new method employs gated neural networks that are trained to separate the voices at multiple processing steps, while maintaining the speaker in each output channel fixed. A different model is trained for every number of possible speakers, and the model with the largest number of speakers is employed to select the actual number of speakers in a given sample. Our method greatly outperforms the current state of the art, which, as we show, is not competitive for more than two speakers.

system-design-primer icon system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

talos icon talos

Hyperparameter Optimization for TensorFlow, Keras and PyTorch

tctrack icon tctrack

TCTrack: Temporal Contexts for Aerial Tracking (CVPR2022)

tensorflow icon tensorflow

An Open Source Machine Learning Framework for Everyone

tensorrt icon tensorrt

PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT

tesseract icon tesseract

Tesseract Open Source OCR Engine (main repository)

testing-ml icon testing-ml

🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.

text-analytics-with-python icon text-analytics-with-python

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

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