BLOOM-fine-tuning VS xrays-and-gradcam

Compare BLOOM-fine-tuning vs xrays-and-gradcam and see what are their differences.

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BLOOM-fine-tuning xrays-and-gradcam
1 3
38 47
- -
1.7 0.0
about 1 year ago about 3 years ago
Jupyter Notebook Jupyter Notebook
- MIT License
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BLOOM-fine-tuning

Posts with mentions or reviews of BLOOM-fine-tuning. We have used some of these posts to build our list of alternatives and similar projects.

xrays-and-gradcam

Posts with mentions or reviews of xrays-and-gradcam. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing BLOOM-fine-tuning and xrays-and-gradcam you can also consider the following projects:

gpt-j-fine-tuning-example - Fine-tuning 6-Billion GPT-J (& other models) with LoRA and 8-bit compression

pytorch-GAT - My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

voice-assistant-whisper-chatgpt - This repository will guide you to create your own Smart Virtual Assistant like Google Assistant using Open AI's ChatGPT, Whisper. The entire solution is created using Python & Gradio.

COVID-CT - COVID-CT-Dataset: A CT Scan Dataset about COVID-19

adaptnlp - An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.

llm-applications - A comprehensive guide to building RAG-based LLM applications for production.

gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

language-planner - Official Code for "Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents"