Pinned Repositories
AI-Crash-Course
AI-Crash-Course, published by Packt
jsonschema
An(other) implementation of JSON Schema (Draft 3) for Python
ml-tryouts
rainmaker
A platform for collecting and displaying information about top state-level campaign donors.
jraman's Repositories
jraman/ml-tryouts
jraman/AI-Crash-Course
AI-Crash-Course, published by Packt
jraman/albumentations
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
jraman/ASCII-Art
jraman/basic_model_scratch
Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library
jraman/bigdata19-tutorial
jraman/brylevkirill-notes
Resources to learn more about Machine Learning and Artificial Intelligence
jraman/coursera-RLGlue
Copy of andnp/coursera-rl-glue.git
jraman/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
jraman/demos-cs357
Numerical Methods I, CS 357, Univ. of Illinois
jraman/escreen
Noah Friedman's escreen.el
jraman/fast-autoaugment
Official Implementation of 'Fast AutoAugment' in PyTorch.
jraman/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
jraman/imutils
A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.
jraman/lucent
Lucid library adapted for PyTorch
jraman/MathJax-demos-web
A repository with examples using mathjax-v3
jraman/mnist
MNIST Data
jraman/nielsen-neural-networks-and-deep-learning
Michael Nielsen's Book -- Neural Networks and Deep Learning
jraman/nlp-in-practice
NLP, Text Mining and Machine Learning starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, keyword extraction with TFIDF, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.
jraman/physdata
jraman/practical-python
Practical Python Programming (course by @dabeaz)
jraman/PRML
PRML algorithms implemented in Python
jraman/pyspammodule
CPython extension module in C
jraman/pytorch-cifar
95.47% on CIFAR10 with PyTorch
jraman/pytorch-dist
PyTorch Distributed Processing
jraman/so-simple-theme
A simple Jekyll theme for words and pictures.
jraman/tds-submissions
jraman/tensorflow
An Open Source Machine Learning Framework for Everyone
jraman/test-jekyll-themes
Test Jekyll themes, especially LaTeX
jraman/ThinkStats2
Text and supporting code for Think Stats, 2nd Edition