Pinned Repositories
browsergap.ce
Simple Isolated Remote Browsers, Open Source
concurrency
From Pycon Montreal, David's talk!
Outlier-Detection-with-AVF-Spark
SparkAlgorithms
Additional useful algorithms that can be used with spark.
PromptClip
Instantly create video clips from LLM prompts
StreamRAG
Video Search and Streaming Agent 🕵️♂️
videodb-cookbook
Build use cases with VideoDB
videodb-python
VideoDB Python SDK
codeAshu's Repositories
codeAshu/Outlier-Detection-with-AVF-Spark
codeAshu/awesome-bigdata
A curated list of awesome big data frameworks, ressources and other awesomeness.
codeAshu/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 ;)
codeAshu/hierarchical-clustering-with-spark
codeAshu/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
codeAshu/BinaryTreeLib
lib of binary tree
codeAshu/breeze
Breeze is a numerical processing library for Scala.
codeAshu/C-playground
All C codes
codeAshu/DiskScheduling
prototype of disk scheduling Algos
codeAshu/dkblr_data_wrangling
codeAshu/healthapp
My family health App
codeAshu/jblas
Linear Algebra for Java
codeAshu/knnJoin
codeAshu/Link-List-Lib
codeAshu/matplotlib
matplotlib: plotting with Python
codeAshu/nak
The Nak Machine Learning Library
codeAshu/NamedEntityRecognition
Repo for our AI project
codeAshu/Nectar
Open source framework for predictive modeling on Apache Hadoop
codeAshu/neuraltalk
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
codeAshu/phrases
codeAshu/playground
free codes python
codeAshu/spark-energy-prediction
Predicting energy usage using spark and scala
codeAshu/spark-training
Spark training material
codeAshu/spearmint
Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012
codeAshu/Spearmint-1
Spearmint Bayesian optimization codebase
codeAshu/survey_app
Survey App
codeAshu/twitter_nlp
Twitter NLP Tools
codeAshu/vowpal-wabbit-cygwin-executables
Prebuild Cygwin executables for Vowpal Wabbit
codeAshu/vowpal_wabbit
John Langford's original release of Vowpal Wabbit -- a fast online learning algorithm
codeAshu/Wikipedia
A Pythonic wrapper for the Wikipedia API