xrays-and-gradcam VS BLOOM-fine-tuning

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

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

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.

What are some alternatives?

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

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!

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

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

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.

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.

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

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

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