parth06's Stars
yangshun/tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
gradio-app/gradio
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
shap/shap
A game theoretic approach to explain the output of any machine learning model.
jina-ai/jina
☁️ Build multimodal AI applications with cloud-native stack
Delgan/loguru
Python logging made (stupidly) simple
EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
cool-RR/PySnooper
Never use print for debugging again
zziz/pwc
This repository is no longer maintained.
great-expectations/great_expectations
Always know what to expect from your data.
NirantK/awesome-project-ideas
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
dformoso/machine-learning-mindmap
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
pytorch/captum
Model interpretability and understanding for PyTorch
adamerose/PandasGUI
A GUI for Pandas DataFrames
jayinai/data-science-question-answer
A repo for data science related questions and answers
JasonKessler/scattertext
Beautiful visualizations of how language differs among document types.
MarcSkovMadsen/awesome-streamlit
The purpose of this project is to share knowledge on how awesome Streamlit is and can be
artix41/awesome-transfer-learning
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
peteanderson80/bottom-up-attention
Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
csurfer/rake-nltk
Python implementation of the Rapid Automatic Keyword Extraction algorithm using NLTK.
adeshpande3/Machine-Learning-Links-And-Lessons-Learned
List of all the lessons learned, best practices, and links from my time studying machine learning
Just-A-Visitor/Algorithmic-Pseudocode
This repository contains the pseudocode(pdf) of various algorithms and data structures necessary for Interview Preparation and Competitive Coding
koaning/whatlies
Toolkit to help understand "what lies" in word embeddings. Also benchmarking!
jina-ai/examples
Jina examples and demos to help you get started
Paperspace/DinoRunTutorial
Accompanying code for Paperspace tutorial "Build an AI to play Dino Run"
ShivamPanchal/Complete-CheatSheets
This repo contains all the cheatsheets you need to keep handy, I will add more soon.
plotly/dash-pivottable
react-pivottable in Dash
suinleelab/path_explain
A repository for explaining feature attributions and feature interactions in deep neural networks.
ianozsvald/dtype_diet
Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
ankit1khare/Deep-Neural-Network-based-parking-system
Trained a Resnet101 based car and vacant space classifier using Fastai library. Used it in combination of laplacian operator to manage parking automatically.