gpu-optimization

There are 1 repository under gpu-optimization topic.

GVProf / GVProf
GVProf: A Value Profiler for GPU-based Clusters
profiler gpu redundancy instrumentation cuda gpu-optimization machine-learning binary-analysis value-profiler data-flow patterns clusters
Language:Python 52
Performance-Mod-Guide-For-Valheim
RobThePCGuy / Performance-Mod-Guide-For-Valheim
Boost Valheim's FPS to forge a smoother Viking journey!
game-configuration gaming-mods gpu-optimization optimization-techniques tech-guide valheim-mods cpu-optimization gaming-efficiency high-priority-mode performance-tweaking steam-guide valheim-performance valheim-tips valheim-tricks viking-game
Language:PowerShell 27
yui0 / waifu2x-glsl
Fast waifu2x converter with GPU optimization
waifu2x glsl waifu2x-glsl fast-waifu2x-converter gpu-optimization gpgpu macos linux resolution glew nyanko
Language:C 27
yui0 / waifu2x-ocl
Fast waifu2x converter with GPU optimization
fast-waifu2x-converter gpu-optimization linux macos nyanko opencl resolution waifu2x waifu2x-ocl windows
Language:C 23
raj200501 / GPUOptimizerML
The GPU Optimizer for ML Models enhances GPU performance for machine learning. It offers advanced scheduling, real-time monitoring, and efficient resource management through a user-friendly web interface and robust API, integrating big data technologies for seamless data processing and model optimization. @nvidia
big-data-integration gpu-optimization gpu-scheduling model-management real-time-monitoring secure-api
Language:Python 3
broomelasticheart / Claymore-Dual-Miner-Multi-Crypto-Mining
Claymore Dual Miner allows simultaneous mining of multiple cryptocurrencies, optimizing your mining profits while efficiently using GPU resources. ⛏️💰
crypto-mining cryptocurrency dual-mining eth-mining gpu-mining claymore-dual-miner mining-tools dual-cryptocurrency multi-crypto-mining cryptocurrency-miner digital-currency mining-performance ethereum-mining profitability cryptocurrency-investing gpu-optimization mining-algorithms
2
VoidYogendra / Face-Point
First open-source real-time face filter app using MediaPipe FaceMesh for high-performance, GPU-accelerated effects.
android face-detection mediapipe ndk opengl-es video-processing face-filters face-landmarks glsl-shaders gpu-optimization mediacodec mediapipe-facemesh real-time-video-processing
Language:Kotlin 2
Berto70 / pod_compastro23
Repository for the Computational Astrophysics course - 2023 - UniPD
computational-astrophysics cpu-optimization fireworks gpu-optimization n-body ode-integrators python
Language:HTML 1
BjornMelin / nlp-engineering-hub
📚 Enterprise NLP systems and LLM applications. Features custom language model implementations, distributed training pipelines, and efficient inference systems. 🔤
cuda gpu-optimization huggingface huggingface-transformers langchain language-models large-language-models nlp openai python transformers
1
flickleafy / ollama_consumer
🤖 Ollama Consumer - A Python-based interactive chat interface for Ollama models with advanced model management, comprehensive benchmarking, vision support, and automatic error recovery. Features dynamic model switching, GPU optimization, and intelligent service monitoring for seamless AI model interactions.
llm ollama-api ai automation benchmarking chatbot cli-tool configuration-management error-recovery gpu-optimization interactive-chat language-models machine-learning model-management multimodal python service-monitoring vision-models moe-models
Language:Python 1
Kuenoz / pytorch_training_optimization_using_tensordict_memory_mapping
Optimizing PyTorch Model Training by Wrapping Memory Mapped Tensors on an Nvidia GPU with TensorDict.
ai gpu gpu-optimization memory-mapped-tensors memory-mapping optimization python pytorch pytorch-tensors pytorch-training pytorch-training-optimization tensordict tensors torch
Language:Python 1
Md-Emon-Hasan / Fine-Tuning
End-to-end fine-tuning of Hugging Face models using LoRA, QLoRA, quantization, and PEFT techniques. Optimized for low-memory with efficient model deployment
bitsandbytes deep-learning fine-tuning fp16-training gpu-optimization gradient-checkpointing huggingface huggingface-datasets lora low-memory-training machine-learning model-training natural-language-processing nlp parameter-efficient-fine-tuning peft pytorch qlora quantization transformers
Language:Jupyter Notebook 1
OriYarden / pytorch_training_optimization_using_tensordict_memory_mapping
Optimizing PyTorch Model Training by Wrapping Memory Mapped Tensors on Nvidia GPUs with TensorDict.
optimization pytorch pytorch-training tensordict torch memory-mapped-tensors pytorch-training-optimization nvidia-gpu gpu-optimization memory-mapping artificial-intelligence gpu nvidia python pytorch-dataloader pytorch-dataset pytorch-tensors tensors ai machine-learning
Language:Python 1
AKKI0511 / Traffic-Sign-Recognition
Traffic sign recognition using deep learning. Implemented and compared custom CNN and transfer learning models (ResNet50, MobileNetV2) with comprehensive evaluation metrics. Achieved 98.8% accuracy with a focus on real-world efficiency.
computer-vision deep-learning image-classification keras machine-learning neural-network tensorflow traffic-sign-recognition artificial-intelligence cnn-architecture convolutional-neural-networks-cnn data-augmentation gpu-optimization image-preprocessing mobilenetv2 model-comparison model-evaluation resnet50 transfer-learning
Language:Jupyter Notebook 0
0xf0011 / cryptic-simglyph-allocator
cpp cross-platform font-rendering game-engine gpu-optimization high-performance lazy-loading memory-mapping pybind11 python texture-atlas ui-framework glyph-packing cryptic-simglyph-allocator
Berto70 / nbody_cuda
Parallel N-Body algorithm with CUDA. Modern Computing for Physics - 2025 - UniPD
cuda nbody-simulation parallel-computing unipd mcp physics-of-data gpu-optimization
Language:Jupyter Notebook
BjornMelin / edge-ai-engineering
📱 Optimized ML for edge devices. Showcasing efficient model deployment, GPU-CPU memory transfer optimization, and real-world edge AI applications. 🤖
cuda edge-computing embedded-systems gpu-optimization iot model-optimization python tflite mobile-ml
Dongskie43 / nlp-engineering-hub
📚 Enterprise NLP systems and LLM applications. Features custom language model implementations, distributed training pipelines, and efficient inference systems. 🔤
cuda gpu-optimization huggingface huggingface-transformers langchain language-models large-language-models nlp openai python transformers
gregorgatej / notebooks
Small collection of Jupyter Notebooks, covering different topics I find interesting.
data-analysis gpu-optimization ipython jupyter-notebook machine-learning natural-language-processing performance-profiling python-3 similarity-detection topic-modeling unsupervised-learning vector-search data-preprocessing feature-engineering
Language:Jupyter Notebook
JonSnow1807 / Fused-LayerNorm-CUDA-Operator
High-performance CUDA implementation of LayerNorm for PyTorch achieving 1.46x speedup through kernel fusion. Optimized for large language models (4K-8K hidden dims) with vectorized memory access, warp-level primitives, and mixed precision support. Drop-in replacement for nn.LayerNorm with 25% memory reduction.
cuda deep-learning gpu-optimization kernel-fusion layernorm pytorch
Language:Python
LeonByte / SearchEngine
Multimodal search engine using CLIP embeddings for bidirectional image-text retrieval.
batch-processing bidirectional-search flickr8k-dataset foss fp16 gpu-optimization gradio-interface image-to-text jupyter-notebook local-first memory-management multimodal-deep-learning poetry-python python3 scikit-learn search-engine sentence-transformers text-to-image clip-vit-b-16
Language:Jupyter Notebook