Pinned Repositories
blocksparse
Efficient GPU kernels for block-sparse matrix multiplication and convolution
ClassroomPopcorn
Video Streaming Platform as DBMS course project
Convex-Hull-algorithms
Implementation of 3 convex hull algorithms in Java and C++
DeepSpeedExamples
Example models using DeepSpeed
DenseNet
DenseNet implementation in Keras
dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
FS-NEAT-for-Sarsa
logparser
A toolkit for automated log parsing [ICSE'19, TDSC'18, DSN'16]
pgmpy
Python Library for Probabilistic Graphical Models
SpatialModulationMIMO
BTech Thesis Project - Source code of the implementation of the proposed algorithm
ayushchauhan's Repositories
ayushchauhan/SpatialModulationMIMO
BTech Thesis Project - Source code of the implementation of the proposed algorithm
ayushchauhan/blocksparse
Efficient GPU kernels for block-sparse matrix multiplication and convolution
ayushchauhan/ClassroomPopcorn
Video Streaming Platform as DBMS course project
ayushchauhan/Convex-Hull-algorithms
Implementation of 3 convex hull algorithms in Java and C++
ayushchauhan/DeepSpeedExamples
Example models using DeepSpeed
ayushchauhan/DenseNet
DenseNet implementation in Keras
ayushchauhan/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
ayushchauhan/FS-NEAT-for-Sarsa
ayushchauhan/logparser
A toolkit for automated log parsing [ICSE'19, TDSC'18, DSN'16]
ayushchauhan/pgmpy
Python Library for Probabilistic Graphical Models
ayushchauhan/pytorch_geometric
Graph Neural Network Library for PyTorch
ayushchauhan/sparse_attention
Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"