amazon-sagemaker-local-mode
nebuly
| amazon-sagemaker-local-mode | nebuly | |
|---|---|---|
| 1 | 105 | |
| 230 | 8,363 | |
| 1.3% | 0.1% | |
| 7.7 | 8.4 | |
| about 1 month ago | 7 months ago | |
| Python | Python | |
| MIT No Attribution | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
amazon-sagemaker-local-mode
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Debugging Python Code in Amazon SageMaker Locally Using Visual Studio Code and PyCharm: A Step-by-Step Guide
git clone https://github.com/aws-samples/amazon-sagemaker-local-mode/ cd amazon-sagemaker-local-mode/general_pipeline_local_debug python3 -m venv .venv source .venv/bin/activate pip install jupyter jupyter lab
nebuly
- Nebuly – The LLM Analytics Platform
- Ask HN: Any tools or frameworks to monitor the usage of OpenAI API keys?
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What are you building with LLMs? I'm writing an article about what people are building with LLMs
Hi everyone. I’m the creator of ChatLLaMA https://github.com/nebuly-ai/nebullvm/tree/main/apps/accelerate/chatllama, an opensource framework to train LLMs with limited resources and create There’s been amazing usage of LLMs in these days, from chatbots to retrieve about company’s product information, to cooking assistants for traditional dishes, and much more. And you? What you building or would love to build with LLMs? Let me know and I’ll share the article about your stories soon. https://qpvirevo4tz.typeform.com/to/T3PruEuE Cheers
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Show HN: ChatLLaMA – A ChatGPT style chatbot for Facebook's LLaMA
How does it differentiate from the original ChatLLaMA? https://github.com/nebuly-ai/nebullvm/tree/main/apps/acceler...
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🤖🌟 Unlock the Power of Personal AI: Introducing ChatLLaMA, Your Custom Personal Assistant! 🚀💬
Was this made with the ChatLLaMA library? https://github.com/nebuly-ai/nebullvm/tree/main/apps/accelerate/chatllama
- Meta LLM LLaMA leaked, all over the internet as we speak
- Meta LLM LLAMA leaked, it's all over the internet as we speak.
- Meta LLM LLAMMA leaked, it's all over the internet as we speak.
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Plug and play modules to optimize the performances of your AI systems
Some of the available modules include:
Speedster: Automatically apply the best set of SOTA optimization techniques to achieve the maximum inference speed-up on your hardware. https://github.com/nebuly-ai/nebullvm/blob/main/apps/acceler...
Nos: Automatically maximize the utilization of GPU resources in a Kubernetes cluster through real-time dynamic partitioning and elastic quotas. https://github.com/nebuly-ai/nos
ChatLLaMA: Build faster and cheaper ChatGPT-like training process based on LLaMA architectures. https://github.com/nebuly-ai/nebullvm/tree/main/apps/acceler...
OpenAlphaTensor: Increase the computational performances of an AI model with custom-generated matrix multiplication algorithm fine-tuned for your specific hardware. https://github.com/nebuly-ai/nebullvm/tree/main/apps/acceler...
Forward-Forward: The Forward Forward algorithm is a method for training deep neural networks that replaces the backpropagation forward and backward passes with two forward passes. https://github.com/nebuly-ai/nebullvm/tree/main/apps/acceler...
- Open source implementation for LLaMA-based ChatGPT
What are some alternatives?
quick-deploy - Optimize, convert and deploy machine learning models as fast inference API using Triton and ORT. Currently support Hugging Face transformers, PyToch, Tensorflow, SKLearn and XGBoost models.
tvm - Open deep learning compiler stack for cpu, gpu and specialized accelerators
mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
AITemplate - AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.
mars - Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
aws-lambda-docker-serverless-inference - Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.
alpaca-lora - Instruct-tune LLaMA on consumer hardware
pinferencia - Python + Inference - Model Deployment library in Python. Simplest model inference server ever.
TensorRT - NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
deepsparse - Sparsity-aware deep learning inference runtime for CPUs
openvino - OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference