Pinned Repositories
amadeus_data
awesome-algorithms
A curated list of awesome places to learn and/or practice algorithms.
awesome-talks
:bulb: Awesome Talks
big_data_tlk
bunch of code for big data and machine learning
bioimageit-toolboxes
Repository for the image processing toolbox index
bioimageit-tools
Galaxy tools wrappers for BioImageing
bioimageit_core
Core python library for BioImageIT
bioimageit_formats
Manage data formats for BioImageIT project
da-slides
Distributed Algorithms — Lecture Slides
data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes
tristancabel's Repositories
tristancabel/amadeus_data
tristancabel/awesome-algorithms
A curated list of awesome places to learn and/or practice algorithms.
tristancabel/awesome-talks
:bulb: Awesome Talks
tristancabel/big_data_tlk
bunch of code for big data and machine learning
tristancabel/bioimageit-toolboxes
Repository for the image processing toolbox index
tristancabel/bioimageit-tools
Galaxy tools wrappers for BioImageing
tristancabel/bioimageit_core
Core python library for BioImageIT
tristancabel/bioimageit_formats
Manage data formats for BioImageIT project
tristancabel/data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes
tristancabel/datasci_coursera
tristancabel/dtkio
for optimized input/output in d-tk
tristancabel/emacs-config
my emacs configuration
tristancabel/geomstats
Computations and statistics on manifolds with geometric structures.
tristancabel/intro2deeplearning
tristancabel/lectures
Oxford Deep NLP 2017 course
tristancabel/lex-gpt
tristancabel/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
tristancabel/lpy
An open source python version of the Lindenmayer Systems.
tristancabel/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
tristancabel/monaco-languageclient
NPM module to connect Monaco editor with language servers
tristancabel/pandoc_resume
The Markdown Resume
tristancabel/plantgl
An open-source graphic toolkit for the creation, simulation and analysis of 3D virtual plants.
tristancabel/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
tristancabel/prolusion
From Latin prolusio(n- ), from prolus- ‘practised beforehand’, from the verb proludere, from pro ‘before’ + ludere ‘to play’.
tristancabel/python-patterns
A collection of design patterns/idioms in Python
tristancabel/QS-backup-and-restore-app
tristancabel/racing-time-series
Sample time-series application using car telemetry as the use case
tristancabel/ScalaTraining
Repo to organize and follow a self-organized Scala training with some collegues
tristancabel/seshat
Handwritten math expression parser
tristancabel/tristancabel.github.io