Dhruv Srikanth (DhruvSrikanth)

DhruvSrikanth

Geek Repo

Company:WecoAI

Location:Chicago

Home Page:https://dhruvsrikanth.github.io/

Twitter:@DhruvSrikanth

Github PK Tool:Github PK Tool


Organizations
autonlab
Center-for-Applied-AI

Dhruv Srikanth's repositories

GoLLUM

A compiler for GoLite, a simple mix between Go and C/C++. The compiler uses LLVM for its IR representation and is designed for an ARM64 backend architecture.

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mlx-graphs

Graph Neural Network library made for Apple Silicon

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Unix-Like-Shell

A pure C implementation of a Unix-like system emulating the Bourne Again SHell.

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CUDANN

A distributed implementation of a deep learning framework in CUDA.

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DenoisingDiffusionProbabilisticModels

An implementation of Denoising Diffusion Probabilistic Models (DDPMS) with experiments on different beta schedulers.

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Boosting-Theory

A collection of papers produced on the theory of boosting as applied to binary classification. Further extensions to the multi-class classification problem and necessary and sufficient conditions to ensure boostability i.e. weak learning conditions. Finally, an overview over boosting algorithms and models employed in industry.

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clrs

Consult the DeepMind clrs repository for the description.

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ConditionalGAN

Simulate experiments with the Conditional GAN architecture and training algorithm in PyTorch using this package.

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FastConv

Distributed and serial implementations of the 2D Convolution operation in c++ and CUDA.

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ML-Templates

Templates for AI projects.

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mlx

MLX: An array framework for Apple silicon

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project-template

A template for anyone interested in engaging in technical projects involving code.

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pynn

Purely NumPy based API for building deep neural networks.

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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tsfresh

Automatic extraction of relevant features from time series:

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VanillaGAN

Simulate experiments with the Vanilla GAN architecture and training algorithm in PyTorch using this package.

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Frozen-Lake-Q-Learning

A reinforcement learning-based approach playing the frozen lake game from openai-gym.

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lightning

Deep learning framework to train, deploy, and ship AI products Lightning fast.

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MapReduceSparseSolver

An Go native implementation of the Map Reduce parallel framework for a sparse linear solver utilizing conjugate gradient to solve the Poisson equation.

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Numerical-Optimization-Techniques

A collection of numerical optimization techniques I've implemented to better my understanding of them.

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PipelineBSPImageEditor

An image editor implemented in Go, utilizing the pipeline and BSP parallelism schemes.

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sentence-transformers

Multilingual Sentence & Image Embeddings with BERT

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SupContrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

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TwitterGo

A parallelized twitter application implemented with a producer consumer model and lock free queue in Go.

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WorkBalancingStealingImageEditor

An image editor implemented using the work balancing and work stealing parallelism schemes in Go.

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