Padarn/gaPyKrig
Kriging for GA project
Repositories
Padarn/research
Padarn/nanoclaw
A lightweight alternative to Clawdbot / OpenClaw that runs in containers for security. Connects to WhatsApp, has memory, scheduled jobs, and runs directly on Anthropic's Agents SDK
Padarn/mem0
Universal memory layer for AI Agents; Announcing OpenMemory MCP - local and secure memory management.
Padarn/data-prep-kit
Open source project for data preparation of LLM application builders
Padarn/langchain
🦜🔗 Build context-aware reasoning applications
Padarn/randomizepy
Padarn/jsonparser
One of the fastest alternative JSON parser for Go that does not require schema
Padarn/Causal-Inference-1
Causal Inference 1 Mixtape Session taught by Scott Cunningham
Padarn/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
Padarn/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Padarn/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.
Padarn/pytorch_geometric
Graph Neural Network Library for PyTorch
Padarn/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Padarn/serve
Serve PyTorch models in production
Padarn/pytorch_sparse
PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations
Padarn/bootsteps
step-by-step tutorial on how to implement basic bootstrap analyses
Padarn/OpenSfM
Open source Structure-from-Motion pipeline
Padarn/time-series-dataset
:wrench: Easy-to-use PyTorch Dataset object for multivariate time series :wrench:
Padarn/functorch
functorch is a prototype of JAX-like composable function transforms for PyTorch.
Padarn/Open3D
Open3D: A Modern Library for 3D Data Processing
Padarn/pyro
Deep universal probabilistic programming with Python and PyTorch
Padarn/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Padarn/flink-on-k8s-operator
Kubernetes operator for managing the lifecycle of Apache Flink and Beam applications.
Padarn/kube-capacity
A simple CLI that provides an overview of the resource requests, limits, and utilization in a Kubernetes cluster
Padarn/probability
Probabilistic reasoning and statistical analysis in TensorFlow
Padarn/pipelines
Machine Learning Pipelines for Kubeflow
Padarn/kubeflow-aws
Kustomize manifest to deploy kubeflow pipelines in AWS
Padarn/incubator-airflow
Apache Airflow (Incubating)
Padarn/survival
Survival package for R