a-hamdi / IslamicTranslatorLinks
ππ¬π₯ππ¦π’πππ«ππ§π¬π₯πππ¨π« is an automated solution designed to translate ππππ’ππ‘π¬ into multiple languages using the power of Large Language Models (LLMs). Driven by precision and accuracy, this tool ensures translations are robust by breaking the process into manageable steps and identifying corrupted or incomplete translations!
β11Updated 11 months ago
Alternatives and similar repositories for IslamicTranslator
Users that are interested in IslamicTranslator are comparing it to the libraries listed below
Sorting:
- Wameedh Scientific Club Deep Learning for Computer Vision workshop repository.β12Updated last year
- A Plug-and-play Lightweight tool for the Inference Optimization of Deep Neural networksβ47Updated 2 months ago
- Analog AI Neural Architecture Search (analog-nas) is a modular and flexible framework to facilitate implementation of Analog-aware Neuralβ¦β50Updated 3 months ago
- Notes on quantization in neural networksβ114Updated 2 years ago
- 100 days of building GPU kernels!β560Updated 8 months ago
- GPU Kernelsβ217Updated 8 months ago
- FPGA based Vision Transformer accelerator (Harvard CS205)β142Updated 10 months ago
- Floating-Point Optimized On-Device Learning Library for the PULP Platform.β37Updated 3 weeks ago
- Torch2Chip (MLSys, 2024)β55Updated 9 months ago
- Machine-Learning Accelerator System Exploration Toolsβ186Updated this week
- making the official triton tutorials actually comprehensibleβ85Updated 4 months ago
- A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.β451Updated 9 months ago
- A survey on Hardware Accelerated LLMsβ61Updated 11 months ago
- β15Updated 10 months ago
- β408Updated 8 months ago
- β233Updated last year
- This repo contains the Assignments from Cornell Tech's ECE 5545 - Machine Learning Hardware and Systems offered in Spring 2023β41Updated 2 years ago
- Repository collecting papers about neuromorphic hardware, such as ASIC and FPGA implementations of SNNs and stuff.β198Updated 2 years ago
- Research and Materials on Hardware implementation of Transformer Modelβ295Updated 10 months ago
- Topics in Machine Learning Accelerator Designβ91Updated 2 years ago
- DNN Compiler for Heterogeneous SoCsβ59Updated 2 weeks ago
- β79Updated 3 weeks ago
- An Open Workflow to Build Custom SoCs and run Deep Models at the Edgeβ101Updated 3 weeks ago
- Simulator for LLM inference on an abstract 3D AIMC-based acceleratorβ25Updated 3 months ago
- From Pytorch model to C++ for Vitis HLSβ19Updated last week
- Edge-MoE: Memory-Efficient Multi-Task Vision Transformer Architecture with Task-level Sparsity via Mixture-of-Expertsβ132Updated last year
- Harmonic-NAS: Hardware-Aware Multimodal Neural Architecture Search on Resource-constrained Devices (ACML 2023)β16Updated last year
- β23Updated last year
- HW Architecture-Mapping Design Space Exploration Framework for Deep Learning Acceleratorsβ175Updated 2 months ago
- ONNXim is a fast cycle-level simulator that can model multi-core NPUs for DNN inferenceβ178Updated 3 weeks ago