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Gyanachand Panigrahi's Projects

30-days-of-python icon 30-days-of-python

30 days of Python programming challenge is a step by step guide to learn the Python programming language in 30 days. This challenge may take up to 100 days, follow your own pace.

ab3dmot icon ab3dmot

Official Python Implementation for "A Baseline for 3D Multi-Object Tracking", In Submission

accelerate icon accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

adanet icon adanet

Fast and flexible AutoML with learning guarantees.

aif360 icon aif360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

aind-nlp icon aind-nlp

Artificial Intelligence Nanodegree - Natural Language Processing

aind-rnn icon aind-rnn

Artificial Intelligence Nanodegree - Recurrent Neural Networks

aitemplate icon aitemplate

AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.

albumentations icon albumentations

fast image augmentation library and easy to use wrapper around other libraries

amazing-semantic-segmentation icon amazing-semantic-segmentation

Amazing Semantic Segmentation on Tensorflow && Keras (include FCN, UNet, SegNet, PSPNet, PAN, RefineNet, DeepLabV3, DeepLabV3+, DenseASPP, BiSegNet)

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

applied-ml icon applied-ml

Curated papers, articles & videos on data science & machine learning applied in production, with results.

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