Amsterdam

Phillip Lippe

Elite
@phlippe

PhD student at University of Amsterdam, QUVA Lab | ML Google Developer Expert for JAX/Flax

uvadlc_notebooks. Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

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UvA_Summaries. Summaries of courses in the AI Master programme at UvA

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ENCO. Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"

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CITRIS. Code repository of the paper "CITRIS: Causal Identifiability from Temporal Intervened Sequences" and "iCITRIS: Causal Representation Learning for Instantaneous Temporal Effects"

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CategoricalNF. Official repository for "Categorical Normalizing Flows via Continuous Transformations"

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jax_trainer. Lightning-like training API for JAX with Flax

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BISCUIT. Official code of the paper "BISCUIT: Causal Representation Learning from Binary Interactions" (UAI 2023)

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saved_models. Stores the saved models of the UvA-DLC notebooks

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asci_cbl_practicals. The repository for the Deep Learning practicals of the ASCI Computer Vision by Learning course 2022

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uvadlc_notebooks_benchmarking. Benchmark scripts for comparing tutorials in PyTorch and JAX

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liger_kernels. JAX Implementation of Liger Kernels

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lightning-tutorials. Collection of Pytorch lightning tutorial form as rich scripts automatically transformed to ipython notebooks.

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jax_trainer_template. Template for projects based on jax_trainer

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P2_Net. Official repository of the paper "Diversifying Dialogue Response Generation with Prototype Guided Paraphrasing"

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Lean_hammer. Development repository of a hammer for Lean.

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SentimentClassification_TreeLSTM. Assignment 2 (Sentiment Classification with Deep Learning) for the course "Natural Language Processing 1" at the University of Amsterdam

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awesome-jax. JAX - A curated list of resources https://github.com/google/jax

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CausalWorld. CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning

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phd_thesis_latex_public. LaTeX Sources of my PhD Thesis

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InvertibleUT. Combining the invertibility of normalizing flow with the strength of Universal Transformer

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phlippe.

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master_thesis. Master Thesis "Categorical Normalizing Flows via Continuous Transformations" written at the University of Amsterdam (2020)

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EC_Assignment. Practical assignment of the course Evolutionary Computing at the VU

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corrworkshop.github.io. HTML

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DeepReasoning. DHBW Stuttgart student project on theorem proving

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pdearena. Python

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QualitativeReasoner. Practical Assignment Knowledge Representation, VU Amsterdam 2019

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