shawn2306

budgetml

Deploy a ML inference service on a budget in less than 10 lines of code.

google_cloud_AI_ML

This repository contains code to learn AI and ML on Google Cloud Platform

pytorch_tabular

A standard framework for modelling Deep Learning Models for tabular data

mediapipe

Cross-platform, customizable ML solutions for live and streaming media.

Rubiks_Cube_Solver

Solve a Rubiks Cube using Python Opencv and Kociemba module

ctci-python-solutions

Cracking the Coding Interview in Python 3. The solutions all have detailed explanations with visuals.

CorrectMe

This Project contains two API one is auto-corrections and autosuggestions. Auto-correction build with the help of text blob library and auto-suggestions with the help of transforms and Bart large model.

awesome-fraud-detection-papers

A curated list of data mining papers about fraud detection.

neural_prophet

NeuralProphet: A simple forecasting package

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

tez

Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.

DeepInsight

A general framework for interpreting wide-band neural activity

CtCI-6th-Edition-Python

Cracking the Coding Interview 6th Ed. Python Solutions

shap

A game theoretic approach to explain the output of any machine learning model.

just-pandas-things

An ongoing list of pandas quirks

pytorch-original-transformer

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

awesome-neural-adaptation-in-NLP

Awesome Neural Adaptation in Natural Language Processing. A curated list. https://arxiv.org/abs/2006.00632

PerceptiLabs

PerceptiLabs main repository

Deep-Learning-in-Production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

BERTopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

AutoML

ZazuML - easy AutoML for Object Detection

twint

An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.

G-SimCLR

This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip Chakraborty, Aritra Roy Gosthipaty and Sayak Paul.

genrl

A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL

data-science-interviews

Data science interview questions and answers

autoplotter

prml

Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

cudf

cuDF - GPU DataFrame Library

autoscraper

A Smart, Automatic, Fast and Lightweight Web Scraper for Python

SATELLITE-IMAGE-OBJECTS-RECOGNITION