Pinned Repositories
chainpad
Realtime Collaborative Editor Algorithm based on Nakamoto Blockchains
char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
ChatterBot
ChatterBot is a machine learning, conversational dialog engine for creating chat bots
cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers
ConfigSpace
dash
Interactive, Reactive Web Apps for Python. Dash Is Productive™
Data-Analysis-and-Machine-Learning-Projects
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
data-science-blogs
A curated list of data science blogs
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.
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
rehan-asif's Repositories
rehan-asif/chainpad
Realtime Collaborative Editor Algorithm based on Nakamoto Blockchains
rehan-asif/ChatterBot
ChatterBot is a machine learning, conversational dialog engine for creating chat bots
rehan-asif/cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers
rehan-asif/ConfigSpace
rehan-asif/dash
Interactive, Reactive Web Apps for Python. Dash Is Productive™
rehan-asif/Data-Analysis-and-Machine-Learning-Projects
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
rehan-asif/data-science-blogs
A curated list of data science blogs
rehan-asif/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.
rehan-asif/dl-pytorch
rehan-asif/DL4NLP
Deep Learning for NLP resources
rehan-asif/edward
A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
rehan-asif/EffectiveTensorflow
TensorFlow tutorials and best practices.
rehan-asif/face_recognition
The world's simplest facial recognition api for Python and the command line
rehan-asif/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.
rehan-asif/imbalanced-learn
Python module to perform under sampling and over sampling with various techniques.
rehan-asif/Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
rehan-asif/ML-From-Scratch
Python implementations of Machine Learning models and algorithms from scratch. Aims to cover everything from Data Mining techniques to Deep Learning.
rehan-asif/MLAlgorithms
Minimal and clean examples of machine learning algorithms
rehan-asif/models
Models and examples built with TensorFlow
rehan-asif/pachyderm
Reproducible Data Science at Scale!
rehan-asif/Paddle
PArallel Distributed Deep LEarning
rehan-asif/ParlAI
A framework for training and evaluating AI models on a variety of openly available dialog datasets.
rehan-asif/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 ;)
rehan-asif/rabbitmq-tutorials
Tutorials for using RabbitMQ in various ways
rehan-asif/som-tsp
Solving the Traveling Salesman Problem using Self-Organizing Maps
rehan-asif/spaCy
💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython
rehan-asif/TensorFlowOnSpark
TensorFlowOnSpark brings TensorFlow programs onto Apache Spark clusters
rehan-asif/tensorlayer
TensorLayer: Deep Learning and Reinforcement Learning Library for Researcher and Engineer.
rehan-asif/tpot
A Python tool that automatically creates and optimizes machine learning pipelines using genetic programming.
rehan-asif/tsfresh
Automatic extraction of relevant features from time series: