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
3.2kUvA_Summaries. Summaries of courses in the AI Master programme at UvA
199ENCO. Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"
91CITRIS. Code repository of the paper "CITRIS: Causal Identifiability from Temporal Intervened Sequences" and "iCITRIS: Causal Representation Learning for Instantaneous Temporal Effects"
59CategoricalNF. Official repository for "Categorical Normalizing Flows via Continuous Transformations"
57jax_trainer. Lightning-like training API for JAX with Flax
45BISCUIT. Official code of the paper "BISCUIT: Causal Representation Learning from Binary Interactions" (UAI 2023)
40saved_models. Stores the saved models of the UvA-DLC notebooks
27asci_cbl_practicals. The repository for the Deep Learning practicals of the ASCI Computer Vision by Learning course 2022
14uvadlc_notebooks_benchmarking. Benchmark scripts for comparing tutorials in PyTorch and JAX
14liger_kernels. JAX Implementation of Liger Kernels
9lightning-tutorials. Collection of Pytorch lightning tutorial form as rich scripts automatically transformed to ipython notebooks.
8jax_trainer_template. Template for projects based on jax_trainer
8P2_Net. Official repository of the paper "Diversifying Dialogue Response Generation with Prototype Guided Paraphrasing"
7Lean_hammer. Development repository of a hammer for Lean.
6SentimentClassification_TreeLSTM. Assignment 2 (Sentiment Classification with Deep Learning) for the course "Natural Language Processing 1" at the University of Amsterdam
5awesome-jax. JAX - A curated list of resources https://github.com/google/jax
5CausalWorld. CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
5phd_thesis_latex_public. LaTeX Sources of my PhD Thesis
4InvertibleUT. Combining the invertibility of normalizing flow with the strength of Universal Transformer
3phlippe.
2master_thesis. Master Thesis "Categorical Normalizing Flows via Continuous Transformations" written at the University of Amsterdam (2020)
2EC_Assignment. Practical assignment of the course Evolutionary Computing at the VU
2corrworkshop.github.io. HTML
1DeepReasoning. DHBW Stuttgart student project on theorem proving
1pdearena. Python
1QualitativeReasoner. Practical Assignment Knowledge Representation, VU Amsterdam 2019
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