research-contributions
gpt-2
research-contributions | gpt-2 | |
---|---|---|
3 | 64 | |
933 | 21,214 | |
1.3% | 1.1% | |
8.1 | 2.5 | |
7 days ago | 29 days ago | |
Python | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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research-contributions
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Dicom Images Segmentation
Checkout the MONAI library: https://monai.io/. It is tailored towards processing of medical images. It offers a label module which can be used for annotation, as well as a deep learning module with a vast range of models and medical data pipelines.
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Pretrained Resnet50 for kidney detection (Kits19)
You can find a pretrained Resnet, but probably not one that's been trained on a kidney object detection dataset. The only kidney CT dataset I know of is for segmentation, not object detection. So you'll have to convert the segmentations to bounding boxes and train your own. Take a look at monai.io for potential resources.
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Researchers From NVIDIA & Vanderbilt University Propose ‘Swin UNETR’: A Novel Architecture for Semantic Segmentation of Brain Tumors Using Multi-Modal MRI Images
Github: https://github.com/Project-MONAI/research-contributions/tree/master/SwinUNETR
gpt-2
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What are LLMs? An intro into AI, models, tokens, parameters, weights, quantization and more
Medium models: Roughly between 1B to 10B parameters. This is where Mistral 7B, Phi-3, Gemma from Google DeepMind, and wizardlm2 sit. Fun fact: GPT 2 was a medium sized model, much smaller than its latest versions.
- Sam Altman is still trying to return as OpenAI CEO
- Build Personal ChatGPT Using Your Data
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Are the recent advancements in AI technology primarily driven by recent discoveries or the progress in hardware capabilities and the abundance of available data?
"Our model, called GPT-2 (a successor to GPT), was trained simply to predict the next word in 40GB of Internet text. Due to our concerns about malicious applications of the technology, we are not releasing the trained model. As an experiment in responsible disclosure, we are instead releasing a much smaller model for researchers to experiment with, as well as a technical paper. "
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BING IS NOW THE DEFAULT SEARCH FOR CHATGPT
They did release GPT-2 under the MIT License.
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Don Knuth Plays with ChatGPT
Did you arrive at this certainty through reading something other than what OpenAI has published? The document [0] that describes the training data for GPT-2 makes this assertion hilarious to me.
[0]: https://github.com/openai/gpt-2/blob/master/model_card.md#da...
- Was frustriert euch an der Nutzung oder der Diskussion um KI?
- The AI
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Help with pet project to learn - Running ChatGPT-2 at home
I made a clone of https://github.com/openai/gpt-2 on my local laptop
- По поводу опасности ИИ и предложений остановить разработки на 6 месяцев.
What are some alternatives?
jukebox - Code for the paper "Jukebox: A Generative Model for Music"
dalle-mini - DALL·E Mini - Generate images from a text prompt
minGPT - A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time
gpt-neo - An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.
sentencepiece - Unsupervised text tokenizer for Neural Network-based text generation.
mesh-transformer-jax - Model parallel transformers in JAX and Haiku
gpt-neox - An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.
stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
dalle-2-preview
tensorrtx - Implementation of popular deep learning networks with TensorRT network definition API