alekjedrosz

alekjedrosz's Stars

• chan8972/Spike-FlowNet

  Language:Python9717

• deeppavlov/Slavic-BERT-NER

  Shared BERT model for 4 languages of Bulgarian, Czech, Polish and Russian. Slavic NER model.

  Language:Python7211

• sdadas/polish-nlp-resources

  Pre-trained models and language resources for Natural Language Processing in Polish

  31427

• svakulenk0/conversation_mining

  Language:Jupyter Notebook157

• svakulenk0/semantic_coherence

  Measuring semantic (in)coherence in Ubuntu dialogue corpus using different word and knowledge graph embeddings.

  Language:Python182

• cheind/py-motmetrics

  :bar_chart: Benchmark multiple object trackers (MOT) in Python

  Language:Python1.4k259

• phil-bergmann/tracking_wo_bnw

  Implementation of "Tracking without bells and whistles” and the multi-object tracking "Tracktor"

  Language:Python814197

• nadinenijssen/Github_5AUA0_Project_G12T1

  Project on multi-object re-identification

  Language:Jupyter Notebook11

• donglixp/lang2logic

  Language:Lua15637

• kchro/plato

  Senior Project

  Language:Python21

• jupyter/jupyter

  Jupyter metapackage for installation, docs and chat

  Language:Python14.8k4k

• ipython-books/cookbook-2nd-code

  Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

  Language:Jupyter Notebook725433

• empathy87/The-Elements-of-Statistical-Learning-Python-Notebooks

  A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book

  Language:Jupyter Notebook839259

• szcf-weiya/ESL-CN

  The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

  Language:Jupyter Notebook2.4k590

• emredjan/ISL-python

  Porting the R code in ISL to python. Labs and exercises

  Language:Jupyter Notebook18899

• asadoughi/stat-learning

  Notes and exercise attempts for "An Introduction to Statistical Learning"

  Language:HTML2.1k1.6k

• jcrouser/islr-python

  Language:Jupyter Notebook106143

• JWarmenhoven/ISLR-python

  An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

  Language:Jupyter Notebook4.2k2.4k

• percyliang/sempre

  Semantic Parser with Execution

  Language:Java829299

• cgpotts/annualreview-complearning

  Demonstration code for Liang and Potts 2015

  Language:Python7936

• Anwarvic/Stanford_CS224u--NLU-Course

  This repository contains my solution to the Stanford Course cs224u "Natural Language Understanding" Summer 2019

  Language:Jupyter Notebook123

• cgpotts/csli-summer

  Materials for the CSLI Summer Internship Program

  Language:Jupyter Notebook38

• dunovank/jupyter-themes

  Custom Jupyter Notebook Themes

  Language:CSS9.8k1.1k

• TheAlgorithms/Python

  All Algorithms implemented in Python

  Language:Python184k44.3k

• fmpr/texttk

  Text Preprocessing in Python

  Language:Python192

• georgestein/ml-in-cosmology

  A comprehensive list of published machine learning applications to cosmology

  38247

• jacobandreas/pragma

  Reasoning about pragmatics with neural listeners and speakers

  Language:Jupyter Notebook236

• reubenharry/Recurrent-RSA

  Code for NAACL paper

  Language:Python2111

• salesforce/WikiSQL

  A large annotated semantic parsing corpus for developing natural language interfaces.

  Language:HTML1.6k322

• berlino/weaksp_em19

  Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs(EMNLP2019)

  Language:Python191