Pinned Repositories
edxclassify
A machine learning pipeline for classifying MOOC discussion forums.
hessian_trace_estimation
Hessian trace estimation using PyTorch and Hutch++
optimization
Mathematical optimization research notebook.
papers
ML & optimization papers that interest me.
cvxpylayers
Differentiable convex optimization layers
diffcp
Differentiation through cone programs
pymde
Minimum-distortion embedding with PyTorch
resalloc
Efficient allocation of fungible resources
cvxpy
A Python-embedded modeling language for convex optimization problems.
marimo
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
akshayka's Repositories
akshayka/hessian_trace_estimation
Hessian trace estimation using PyTorch and Hutch++
akshayka/optimization
Mathematical optimization research notebook.
akshayka/papers
ML & optimization papers that interest me.
akshayka/edxclassify
A machine learning pipeline for classifying MOOC discussion forums.
akshayka/ns2.35
ns2 for research
akshayka/tf_cvxpylayers_control
Some TensorFlow implementations of convex optimization control policies
akshayka/projection-methods
Experimenting with projection methods for solving convex feasibility problems.
akshayka/akshayka
akshayka/gaussian-random-walks
Julia Notebook for Blog Post
akshayka/tensorflow-workshop
Slides and code from our TensorFlow workshop.
akshayka/anywidget
jupyter widgets made easy
akshayka/bft2f
Distributed authentication with BFT2F fault tolerance
akshayka/llmware
Unified framework for building enterprise RAG pipelines with small, specialized models
akshayka/models
Models and examples built with TensorFlow
akshayka/signal-decomposition
A simple and general framework for signal decomposition
akshayka/video-games
A collection of video- game-related projects and scripts.
akshayka/cvxpy
A Python-embedded modeling language for convex optimization problems.
akshayka/fnc-dak
Submission for the Fake News Challenge
akshayka/gavel
Code for "Heterogenity-Aware Cluster Scheduling Policies for Deep Learning Workloads", which is to appear at OSDI 2020
akshayka/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
akshayka/pluto-developer-instructions
akshayka/pyodide-blog
The Pyodide blog
akshayka/quak
a scalable data profiler
akshayka/runhouse
Write local debuggable Python which traverses your powerful remote infra. Deploy as-is. Unobtrusive, unopinionated, PyTorch-like APIs.
akshayka/scs
C package that solves convex cone problems via operator splitting
akshayka/tornado-reactjs
Boilerplate code to use React.js framework in a Tornadoweb server with templates.