Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

Reinforcement Learning-powered compiler autotuning system that learns optimal flag configurations for performance improvement across PolyBench benchmarks. Includes training, evaluation, and visual…

Compilers are capable of generating sources codes in different ways depending on which opti- mizations are applied. The goal of this paper is to predict the execution time of code given the optimiz…

[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural …

A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods presented at TPAMI, CVPR, ICLR, ECCV, NeurIPS, ICCV, AAAI, etc…

All Algorithms implemented in Python

Langflow is a powerful tool for building and deploying AI-powered agents and workflows.

500 AI Machine learning Deep learning Computer vision NLP Projects with code

🌐 The Internet Computer! Free, Open-Source, and Self-Hostable.

implementation of the Modified Discrete Cosine Transform (MDCT) and its inverse using PyTorch tensors

audio enhancement using a Generative Adversarial Network (GAN) for LC3 audio codec

KTU 7th Semester Compiler Design lab programs along with algorithms

A high-level toolbox for using complex valued neural networks in PyTorch

Paper Name: Complex Convolution Neural Network model (Complex DeepLab v3) on STFT time-varying frequency components for audio denoising Creating a Complex Deep Lab v3 model for audio denoising usi…

Implementation of Deep Complex UNet Using PyTorch

The unofficial PyTorch Implementation of "Audio codec enhancement with generative adversarial networks." (20' ICASSP)

Low Complexity Communication Codec

Solutions for the Networking lab (CSL332)- KTU 2019 scheme