Pinned Repositories
Corrformer
About code release of "Interpretable Weather Forecasting for Worldwide Stations with a Unified Deep Model", Nature Machine Intelligence, 2023. https://www.nature.com/articles/s42256-023-00667-9
google-research
Google Research
hamilton
A scalable general purpose micro-framework for defining dataflows. You can use it to build dataframes, numpy matrices, python objects, ML models, etc. Embed Hamilton anywhere python runs, e.g. spark, airflow, jupyter, fastapi, python scripts, etc. Comes with lineage out of the box.
llama
Inference code for LLaMA models
hal2001's Repositories
hal2001/Corrformer
About code release of "Interpretable Weather Forecasting for Worldwide Stations with a Unified Deep Model", Nature Machine Intelligence, 2023. https://www.nature.com/articles/s42256-023-00667-9
hal2001/google-research
Google Research
hal2001/hamilton
A scalable general purpose micro-framework for defining dataflows. You can use it to build dataframes, numpy matrices, python objects, ML models, etc. Embed Hamilton anywhere python runs, e.g. spark, airflow, jupyter, fastapi, python scripts, etc. Comes with lineage out of the box.
hal2001/llama
Inference code for LLaMA models
hal2001/atari-model-zoo
A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.
hal2001/bayesplot
bayesplot R package for plotting Bayesian models
hal2001/beam
Mirror of Apache Beam
hal2001/catch_up
This is companion code for the Wilmott article Catch Up by Jesper Andreasen. The xll code is based on Antoine Savine's https://github.com/asavine/xlCppTutorial where more info is available
hal2001/CompFinance
Companion code for "Modern Computational Finance: AAD and Parallel Simulations" (Antoine Savine, Wiley, 2018)
hal2001/CompFinLecture
Material for Antoine Savine's Computational Finance Lectures at Copenhagen University & Kings College London
hal2001/DCoQ
Dark Corners of Q
hal2001/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
hal2001/Deep_Object_Pose
Deep Object Pose Estimation (DOPE) – ROS inference (CoRL 2018)
hal2001/estool
Evolution Strategies Tool
hal2001/genetic-algorithm-feature-selection
Script to select the best subset of variables based on genetic algorithm in R
hal2001/gpt-2
Code for the paper "Language Models are Unsupervised Multitask Learners"
hal2001/mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
hal2001/momentuHMM
Models Of animal MovemENT behavior Using multivariate Hidden Markov Models
hal2001/notebooks
RAPIDS Sample Notebooks
hal2001/notebooks-1
Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.
hal2001/PyStochasticVolatility
This repository contains different tools to simulate underlyings under SV dynamics. As well, we have implemented several tools for computing option price under SV.
hal2001/PyTorchNLPBook
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info
hal2001/r.prevos.net
The Devil is in the Data blog
hal2001/Scripting
Companion code for "Modern Computational Finance, volume 2: Scripting for Derivatives and XVA" (Antoine Savine & Jesper Andreasen, Wiley, 2021)
hal2001/scrypted
Scrypted is a high performance home video integration and automation platform
hal2001/seqHMM-1
Multivariate and Multichannel Discrete Hidden Markov Models for Categorical Sequences
hal2001/stat479-deep-learning-ss19
Course material for STAT 479: Deep Learning (SS 2019) course at University Wisconsin-Madison
hal2001/TeachBayes
Functions to Help Communicate Bayesian Inference
hal2001/transformer-xl
hal2001/WorldModelsExperiments
World Models Experiments