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Jean Kaddour's Projects

causal-ml icon causal-ml

Must-read papers and resources related to causal inference and machine (deep) learning

causal_reading_group icon causal_reading_group

We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.

cramming icon cramming

Cramming the training of a (BERT-type) language model into limited compute.

d2l-en icon d2l-en

An interactive deep learning book with code, math, and discussions, based on the NumPy interface.

fairseq icon fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

lawa icon lawa

Latest Weight Averaging (NeurIPS HITY 2022)

mammoth icon mammoth

This repo contains the code and data for "MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning"

notrainnogain icon notrainnogain

Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)

oyster icon oyster

Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)

paml icon paml

Implementation of paper "Probabilistic Active Meta-Learning" (NeurIPS 2020).

pysc2 icon pysc2

StarCraft II Learning Environment

sin icon sin

Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)

transformers icon transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

wasam icon wasam

Weight-Averaged Sharpness-Aware Minimization (NeurIPS 2022)

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