Pinned Repositories
aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
axcell
Tools for extracting tables and results from Machine Learning papers
joint-attention-deepsphinx
KrnTneja.github.io
Homepage: KrnTneja.github.io
NeuralNetworkNotebooks
The notebooks contain my implementations of Neural Networks.
PolygraphZieg
ITSP Project 2016, IIT Bombay - Polygraph - Zieg
PyTorch-Implementation-of-Semantic-Image-Inpainting-with-Deep-Generative-Models
PyTorch Implementation of Semantic Image Inpainting with Deep Generative Models
Word2VecNNModel
Vector Representation of Words based on Neural Network models.
tensorflow
An Open Source Machine Learning Framework for Everyone
VC-with-GAN
Voice Conversion with GANs
KrnTneja's Repositories
KrnTneja/PyTorch-Implementation-of-Semantic-Image-Inpainting-with-Deep-Generative-Models
PyTorch Implementation of Semantic Image Inpainting with Deep Generative Models
KrnTneja/KrnTneja.github.io
Homepage: KrnTneja.github.io
KrnTneja/PolygraphZieg
ITSP Project 2016, IIT Bombay - Polygraph - Zieg
KrnTneja/aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
KrnTneja/axcell
Tools for extracting tables and results from Machine Learning papers
KrnTneja/joint-attention-deepsphinx
KrnTneja/NeuralNetworkNotebooks
The notebooks contain my implementations of Neural Networks.
KrnTneja/Word2VecNNModel
Vector Representation of Words based on Neural Network models.
KrnTneja/deepsphinx
KrnTneja/dnc
A TensorFlow implementation of the Differentiable Neural Computer.
KrnTneja/ee610-assignment-2
KrnTneja/MusicSynth
Simple music synthesizer (currently working on envelopes)
KrnTneja/My-Experiments-With-DNC
Experiments with DNC using simple tasks on synthetic dataset
KrnTneja/OscilloscopeGUI2
KrnTneja/RubixCubeSolver
Solving rubix cube in minimum steps.
KrnTneja/spaCy
💫 Industrial-strength Natural Language Processing (NLP) in Python
KrnTneja/tensorflow
Computation using data flow graphs for scalable machine learning