babaniyi's Stars
bhaweshiitk/ConformalLLM
Extending Conformal Prediction to LLMs
joneswack/conformal-predictions-from-scratch
Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
deepdoctection/notebooks
Repository for deepdoctection tutorial notebooks
cxli233/FriendsDontLetFriends
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
ChawlaAvi/Daily-Dose-of-Data-Science
A collection of code snippets from the publication Daily Dose of Data Science on Substack: http://www.dailydoseofds.com/
intro-stat-learning/ISLP_labs
Up-to-date version of labs for ISLP
rasbt/LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
rahulnyk/knowledge_graph
Convert any text to a graph of knowledge. This can be used for Graph Augmented Generation or Knowledge Graph based QnA
futianfan/clinical-trial-outcome-prediction
benchmark dataset and Deep learning method (Hierarchical Interaction Network, HINT) for clinical trial approval probability prediction, published in Cell Patterns 2022.
wandb/edu
Educational materials on deep learning by Weights & Biases
empathy87/storytelling-with-data
Plots from the book "Storytelling with data" implementation using Python and matplotlib
shobrook/adrenaline
Instant answers to any programming question
twitter/the-algorithm
Source code for Twitter's Recommendation Algorithm
Guigs11/strava_insights
Your Strava Year in Stats... But Differently, with Python
VectorInstitute/forecasting-with-dl
Overview of State-of-the-art Deep Learning Based Methods for Time Series Forecasting
rasbt/machine-learning-notes
Collection of useful machine learning codes and snippets (originally intended for my personal use)
rasbt/deeplearning-models
A collection of various deep learning architectures, models, and tips
firmai/industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
cerlymarco/tspiral
A python package for time series forecasting with scikit-learn estimators.
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
cerquide/propensity_score_talk
Slides and notebooks for the talk on propensity scores given at the ALGO group
mottalrd/learning-to-rank
Experiments on how to use machine learning to rank a product catalog
THUwangcy/ReChorus
“Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.
carlomazzaferro/scikit-hts-examples
Example usage of scikit-hts
PreferredAI/cornac
A Comparative Framework for Multimodal Recommender Systems
statisticianinstilettos/recmetrics
A library of metrics for evaluating recommender systems
Samimust/my-yelper
Building a Hybrid Recommendation Engine: Content-based Filtering + Collaborative Filtering (Spark, PySpark, Apache Drill)
drivendataorg/competition-winners
The code for the prize winners in DrivenData competitions.
jiwidi/time-series-forecasting-with-python
A use-case focused tutorial for time series forecasting with python
alexeygrigorev/datascience-recruitment-challenges
Home assignments for data science positions