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Stephen Fernandes's Projects

pysyft icon pysyft

A library for encrypted, privacy preserving machine learning

python icon python

All Algorithms implemented in Python

python-1 icon python-1

Official Python client library for kubernetes

python-blockchain-api icon python-blockchain-api

A Blockchain hyperleader model which is fully deployable is interactable using flask RESTful API

python-devops icon python-devops

gathers Python stack for DevOps, these are usually my basic templates use for my implementations, so, feel free to use it and evolve it! Everything is Docker!

pytorch-image-models icon pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch-lightning icon pytorch-lightning

The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate

pytorch-wideresnet22-cifar10 icon pytorch-wideresnet22-cifar10

Implementing a WideResnet 22 form scratch in pytorch and bechmarking it on the CIFAR10 dataset , reaching almost close to SOTA performance

quartznet-asr-pytorch icon quartznet-asr-pytorch

Automatic Speech Recognition (ASR) model QuartzNet trained on English CommonVoice. In PyTroch with CTC loss and beam search.

rasa icon rasa

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

reinforcement-learning icon reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-1 icon reinforcement-learning-1

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

ridge-and-lasso-regression icon ridge-and-lasso-regression

implementing ridge and lasso regression : 2 powerful regression techniques tat come built in with regularization techniques , that penailize cost function for higher cost values , thus reducing overfitting in regession and building an overall generalized accuracy in regression models

roc-auc-pipeline icon roc-auc-pipeline

a simple roc -auc curves implementation and a pipeline format for plotting

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