bhaskarshankarling
Experience in building web apps using Rails framework. In free time love solving coding problems and reading more about trending technologies like ML
Bangalore, Karnataka
bhaskarshankarling's Stars
donnemartin/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
emscripten-core/emscripten
Emscripten: An LLVM-to-WebAssembly Compiler
SamyPesse/How-to-Make-a-Computer-Operating-System
How to Make a Computer Operating System in C++
ossu/data-science
:bar_chart: Path to a free self-taught education in Data Science!
ujjwalkarn/Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
rasbt/python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
dive-into-machine-learning/dive-into-machine-learning
Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)
flyerhzm/bullet
help to kill N+1 queries and unused eager loading
ankane/searchkick
Intelligent search made easy
ujjwalkarn/DataSciencePython
common data analysis and machine learning tasks using python
amazon-archives/amazon-dsstne
Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models
grosser/parallel
Ruby: parallel processing made simple and fast
ohler55/oj
Optimized JSON
JustFollowUs/Machine-Learning
ujjwalkarn/DataScienceR
a curated list of R tutorials for Data Science, NLP and Machine Learning
mlr-org/mlr
Machine Learning in R
tomepel/Technical_Book_DL
This note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforward, Convolutional and Recurrent.
petewarden/dstk
A collection of the best open data sets and open-source tools for data science
emeryberger/Hoard
The Hoard Memory Allocator: A Fast, Scalable, and Memory-efficient Malloc for Linux, Windows, and Mac.
mrkn/pycall.rb
Calling Python functions from the Ruby language
exAspArk/batch-loader
:zap: Powerful tool for avoiding N+1 DB or HTTP queries
deanpcmad/sidekiq-limit_fetch
A Sidekiq plugin to support advanced queue control (limiting, pausing, blocking, querying)
ben519/MLPB
Machine Learning Problem Bible | Problem Set Here >>
arbox/data-science-with-ruby
Practical Data Science with Ruby based tools.
leandromoreira/redlock-rb
Redlock is a redis-based distributed lock implementation in Ruby. More than 20M downloads.
stedy/Machine-Learning-with-R-datasets
Formatted datasets for Machine Learning With R by Brett Lantz
arthur-e/Programming-Collective-Intelligence
Examples from Programming Collective Intelligence
ferronrsmith/programming-collective-intelligence-code
Examples from Programming Collective Intelligence
JonMidhir/ruby-knn
Simple kNN Classifier written in Ruby
brianjking/Awesome-APIs
📚 A curated list of APIs from round the web.