Varunia's repositories
llama3-from-scratch
llama3 implementation one matrix multiplication at a time
taming-transformers
Taming Transformers for High-Resolution Image Synthesis
paper-justice
Replication code for "Indian judges show no gender or religious in-group bias" (Ash et al. 2020)
ActuarialDataScience
Code for the Actuarial Data Science Tutorials published at https://actuarialdatascience.org.
EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project
pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
qlib
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
ADBench
Official Implement of "ADBench: Anomaly Detection Benchmark".
Awesome_Quadrupedal_Robots
Awesome Quadrupedal Robots
forecasting
Time Series Forecasting Best Practices & Examples
legged_gym
Isaac Gym Environments for Legged Robots
awesome-machine-learning-interpretability
A curated list of awesome machine learning interpretability resources.
Cross-Sell-Insurance-Business-Simulation
This project is to develop a machine learning model to predict customer interested for Cross-Selling in Insurance industry but many of the technical aspects are controlled from the business requirements.
recommenders
Best Practices on Recommendation Systems
Applied-Deep-Learning
Applied Deep Learning Course
awesome-normalizing-flows
A list of awesome resources on normalizing flows.
Hands-On-Data-Analysis-with-Pandas-2nd-edition
Materials for following along with Hands-On Data Analysis with Pandas – Second Edition
NAB
The Numenta Anomaly Benchmark
ConditionalVI
Implementation of "CATVI: Conditional and Adaptively Truncated VariationalInference for Hierarchical Bayesian Nonparametric Models” in Python
neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms for time series data :wavy_dash:
aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
rethinking-tensorflow-probability
Statistical Rethinking (2nd Ed) with Tensorflow Probability
PriceGraph
Open code for PriceGraph
xgboost-virtual-data-science-seminar
XGBoost Insurance Pricing code comparing results with GLM and GAM for Actuarial Virtual Data Science Seminar
nflows
Normalizing flows in PyTorch
hyperbolics
Hyperbolic Embeddings
gcn
Implementation of Graph Convolutional Networks in TensorFlow
HypHC
Hyperbolic Hierarchical Clustering.