Pinned Repositories
abc
ABC: System for Sequential Logic Synthesis and Formal Verification
act
Run your GitHub Actions locally 🚀
Activiti
Activiti is a light-weight workflow and Business Process Management (BPM) Platform targeted at business people, developers and system admins. Its core is a super-fast and rock-solid BPMN 2 process engine for Java. It's open-source and distributed under the Apache license. Activiti runs in any Java application, on a server, on a cluster or in the cloud. It integrates perfectly with Spring, it is extremely lightweight and based on simple concepts.
adatune
Gradient based Hyperparameter Tuning library in PyTorch
alpha_matting_pointcloud_fpga
Point clouds represent data points of 3D objects in space. Generating an alpha matte for a camera perspective is an initial step of the 3D reconstruction of an object. Although there are various techniques to generate alpha mattes, one of the main issues is the time consumption due to having a large number of points in a 3D object. Hence utilizing an FPGA to do the required computation for alpha matte generation will drastically reduce the time consumed. In this project, we will compute the 2D points of the camera perspectives of a 3D point cloud. It will significantly improve the speed of the process of 3D reconstruction.
cb_git_tutorial
GitHub Tutorial
efs
Evolutionary Feature Synthesis (EFS), a regression method that generates readable, nonlinear models of small to medium size datasets in seconds. EFS is the fastest regression tool based on evolutionary computation reported to date. The feature search involved in the proposed method is composed of two main steps: feature composition and feature subset selection. EFS adopts a bottom-up feature composition strategy that eliminates the need for a symbolic representation of the features and exploits the variable selection process involved in pathwise regularized linear regression to perform the feature subset selection step. The result is a regression method that is competitive against neural networks, and outperforms both linear methods and Multiple Regression Genetic Programming, up to now the best regression tool based on evolutionary computation.
kvasir
Classify anomalies in gastrointestinal tract through endoscopic imagery with deep learning.
nocml
This is a project focused on "Securing the NoC Using Machine Learning Based Anomaly Detection".
SeaEagle
We have come up with a method to connect Navy ships, boats and control base using wireless communication methods. We have proposed to use Wifi to make the connection and GPS to track the respective ships and boats. Navy ships are continuously checking whether boats in the sea are suspicious or not when they are offshore. This is done manually by the crew of the navy ships by entering the suspicious boats. There they get headcount of the boat and ask about the projected path of the boat. There is an issue of being prone to damage for the navy ship when the navy ship is coming closer to the other boats as it is much larger than the other boats. Our project idea is to create a system where navy ship will be able to obtain the details of the boat when it is within a certain range of distance from the boats.
chamikasudusinghe's Repositories
chamikasudusinghe/apim-apps
WSO2 API Manager portals web UI apps
chamikasudusinghe/blockifier
Blockifier is a Rust implementation for the transaction-executing component in the StarkNet sequencer, in charge of creating state diffs and blocks.
chamikasudusinghe/cairo
Cairo is the first Turing-complete language for creating provable programs for general computation.
chamikasudusinghe/cairo_native
A compiler to convert Cairo's intermediate representation "Sierra" code to MLIR.
chamikasudusinghe/carbon-apimgt
chamikasudusinghe/chamikasudusinghe.github.io
chamikasudusinghe/CompilerGym
Reinforcement learning environments for compiler and program optimization tasks
chamikasudusinghe/cost_model
A cost model for compiler performance optimization using deep learning.
chamikasudusinghe/deephyper
DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
chamikasudusinghe/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
chamikasudusinghe/docs-apim
chamikasudusinghe/gc_tla
(ICS'23 Paper) Transfer-learning-based Autotuning using Gaussian Copula
chamikasudusinghe/GPTune
chamikasudusinghe/gymnasium
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
chamikasudusinghe/Halide
a language for fast, portable data-parallel computation
chamikasudusinghe/juno
Starknet client implementation.
chamikasudusinghe/latexify_py
A library to generate LaTeX expression from Python code.
chamikasudusinghe/llvm-project
The repository I use to develop LLVM changes
chamikasudusinghe/minbpe
Minimal, clean, code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
chamikasudusinghe/ml-compiler-opt
Infrastructure for Machine Learning Guided Optimization (MLGO) in LLVM.
chamikasudusinghe/ml-interviews-1
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
chamikasudusinghe/ml-interviews-2
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
chamikasudusinghe/opentuner
An extensible framework for program autotuning
chamikasudusinghe/product-apim
Welcome to the WSO2 API Manager source code! For info on working with the WSO2 API Manager repository and contributing code, click the link below.
chamikasudusinghe/research
chamikasudusinghe/test
chamikasudusinghe/timeloop
Timeloop performs modeling, mapping and code-generation for tensor algebra workloads on various accelerator architectures.
chamikasudusinghe/tpu_graphs
chamikasudusinghe/udlbook
Understanding Deep Learning - Simon J.D. Prince
chamikasudusinghe/waco
Workload-Aware Co-Optimization