Pinned Repositories
assembly_lexer
Lexer for assembly code : Compilers class project
AutoTuneFunctionPrecision
Given a function or program this LLVM based tool auto tunes the function to stay within the error threshold provided
awesome-homeschooling
caltech101Classification
Caltech 101 dataset classification using neural networks and image preprocessing.
DenseNet-Caffe
DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet
developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
Fraction_Class
fuzzyRecommendation
Fuzzy recommendation system
hiddenlayer
Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
unsupervised_hyperspectral_clustering_extended
Extension to unsupervised hyperspectral clustering
sruthikesh-MU's Repositories
sruthikesh-MU/AutoTuneFunctionPrecision
Given a function or program this LLVM based tool auto tunes the function to stay within the error threshold provided
sruthikesh-MU/caltech101Classification
Caltech 101 dataset classification using neural networks and image preprocessing.
sruthikesh-MU/fuzzyRecommendation
Fuzzy recommendation system
sruthikesh-MU/unsupervised_hyperspectral_clustering_extended
Extension to unsupervised hyperspectral clustering
sruthikesh-MU/assembly_lexer
Lexer for assembly code : Compilers class project
sruthikesh-MU/awesome-homeschooling
sruthikesh-MU/DenseNet-Caffe
DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet
sruthikesh-MU/developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
sruthikesh-MU/Fraction_Class
sruthikesh-MU/hiddenlayer
Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
sruthikesh-MU/inference_results_v0.5
MLPerf Inference v0.5 Results
sruthikesh-MU/machine-learning-systems-design
A booklet on machine learning systems design with exercises
sruthikesh-MU/ML-From-Scratch
Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.
sruthikesh-MU/MobileNet-v2-caffe
MobileNet-v2 experimental network description for caffe
sruthikesh-MU/neural_network
Neural network with multiple activation functions and back propagation
sruthikesh-MU/nvidia_instruction_benchmarks
Benchmark for NVidia GPU instructions
sruthikesh-MU/onnx
Open standard for machine learning interoperability
sruthikesh-MU/PapersThatIRead
Papers I read and notes
sruthikesh-MU/riscv-ocelot
Ocelot: The Berkeley Out-of-Order Machine With V-EXT support
sruthikesh-MU/ShuffleNet
This is a fast caffe implementation of ShuffleNet.