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ewerlopes
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Code Release for the 2023 NeurIPS Paper How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model
A tool to verify interpretability hypothesis for pytorch modules
bring-your-own-dataset (byod) and generate adversarial text examples
An easy-to-build QMK-powered stenography keyboard
automatically tests prompt injection attacks on ChatGPT instances
Perform optical character recognition on receipts
A language for constraint-guided and efficient LLM programming.
A Tutorial on Deep Reinforcement Learning in PyTorch
🎹🎸A music theory library with a command-line interface
This repo holds all coding projects related to the CTWC (Classic Tetris World Championships). To start with, I've uploaded the "CTWC Video Analyzer" project.
Uplift modeling and causal inference with machine learning algorithms
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Free MLOps course from DataTalks.Club
A Python library that helps data scientists to infer causation rather than observing correlation.
Repository for Introduction to Bayesian Estimation of Causal Effects
Python Implementation of Probabilistic Matrix Factorization(PMF) Algorithm for building a recommendation system using MovieLens ml-100k | GroupLens dataset
Examples of how to create colorful, annotated equations in Latex using Tikz.
A library for federated learning (a distributed machine learning process) in an enterprise environment.
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
ML-Git is a tool which provides a Distributed Version Control system to enable efficient dataset management. Like its name emphasizes, it is meant to be like git in mindset, concept and workflows. …
❓y0 (pronounced "why not?") is for causal inference in Python
Probabilistic reasoning and statistical analysis in TensorFlow
Python code for training fair logistic regression classifiers.
An index of algorithms for learning causality with data
Repository of my solutions to the problems of "Learning from Data"
CausalTrail - a tool for performing causal reasoning using the do-calculus