adarsh0806
Environmentalist. Machine Learning Engineer. 'Computer Science is no more about computers than astronomy is about telescopes.' EW Dijkstra
San Francisco
adarsh0806's Stars
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
dmlc/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
pytorch/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
amueller/word_cloud
A little word cloud generator in Python
catboost/catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
dformoso/machine-learning-mindmap
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
udacity/machine-learning
Content for Udacity's Machine Learning curriculum
homerchen19/nba-go
🏀 💻 The finest NBA CLI.
arogozhnikov/python3_with_pleasure
A short guide on features of Python 3 with examples
tirthajyoti/Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
hmmlearn/hmmlearn
Hidden Markov Models in Python, with scikit-learn like API
rasbt/deep-learning-book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
MaxBenChrist/awesome_time_series_in_python
This curated list contains python packages for time series analysis
justmarkham/DAT8
General Assembly's 2015 Data Science course in Washington, DC
DemocracyEarth/wallet
Censorship resistant democracies.
jupyter/dashboards
[RETIRED] See Voilà as a supported replacement
jayinai/ml-interview
Preparing for machine learning interviews
wendykan/DeepLearningMovies
Kaggle's competition for using Google's word2vec package for sentiment analysis
rouseguy/DeepLearning-NLP
Introduction to Deep Learning for Natural Language Processing
drivendata/data-science-is-software
awjuliani/oreilly-rl-tutorial
Contains Jupyter notebooks associated with the "Deep Reinforcement Learning Tutorial" tutorial given at the O'Reilly 2017 NYC AI Conference.
justmarkham/trump-lies
Tutorial: Web scraping in Python with Beautiful Soup
revantkumar/Collaborative-Filtering
Implemented Item, User and Hybrid based Collaborative Filtering
fisadev/world_cup_learning
Just because I wanted to win a bet, some machine learning about the fifa world cup :)
udacity/PyTorchCrashCourse
A few notebooks on deep learning with PyTorch
rnowling/rec-sys-experiments
Some experiments with recommendation systems
vocapouch/vocapouch-research
This repository contains research we conduct at Vocapouch we want to share with the world.
jswidler/HOTSNet
Use machine learning to predict Heroes of the Storm games
aryankashyap0/collaborative-filtering-python
implementation of Collabrative Filtering way of recommendation engine
pgollakota/rethinking
Python translation with commentary of the book Statistical Rethinking by Richard McElreath