Vinay Varma's repositories
Boosting-Trees
A collection of notebooks with crazy ensembling of boosting trees.They work like magic.
transformer-tensorflow
Implementation of Transformer Model in Tensorflow
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
WHAT-S-Next...
You have found Apparel Recommender Engine.Here I got some data from amazon to see to see i could make you buy some more based on your search.Enjoy....
STACK-OVERFLOW-Tag-prediction
Predicts appropriate tags given a question
MachineLearning-For-the-Imapatient
Collection of recipes and some not so well understood best practices for the impatient..data scientist..
Self-Drivig-Car
The following is a fun project wherein i tried to see whether we can sensibly predict the steering angles given the front cam video-feed.Credits for the dataset goes to SullyChen.The following is a wrapper around his code making few changes.Here's a cool visualization.Enjoy..
skorch
A scikit-learn compatible neural network library that wraps pytorch
DeepMusic
Here's a LSTM generating some convincing music
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 ;)
Human-Activity-Recognition
HUMAN ACTIVITY RECOGNITION
Practical_RL
A course in reinforcement learning in the wild
yellowbrick
Visual analysis and diagnostic tools to facilitate machine learning model selection.
jupyterworkflow
practicing_repreducable_workflow
PyTorch-RL
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
gensim
Topic Modelling for Humans
pytorch-template
PyTorch deep learning projects made easy.
SimpleAI
A simple library that makes you......
ncp
Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors
pytorch-a3c
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
art_of_data_visualization
The art of effective visualization of multi-dimensional data
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
gpytorch
A highly efficient and modular implementation of Gaussian Processes in PyTorch
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
EffectiveTensorflow
TensorFlow tutorials and best practices.
hands-on-transfer-learning-with-python
Deep learning simplified by transferring prior learning using the Python deep learning ecosystem
animl
A python machine learning library for structured data.
aboleth
A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation
grokking-pytorch
The Hitchiker's Guide to PyTorch