qchaldemer's Stars
GoogleCloudPlatform/generative-ai
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
shroominic/codeinterpreter-api
👾 Open source implementation of the ChatGPT Code Interpreter
langchain-ai/langchain
🦜🔗 Build context-aware reasoning applications
Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
samwit/llm-tutorials
A set of LLM Tutorials from my youtube channel
samwit/langchain-tutorials
A set of LangChain Tutorials from my youtube channel
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
google/trax
Trax — Deep Learning with Clear Code and Speed
https-deeplearning-ai/machine-learning-engineering-for-production-public
Public repo for DeepLearning.AI MLEP Specialization
tensorflow/models
Models and examples built with TensorFlow
pytorch/vision
Datasets, Transforms and Models specific to Computer Vision
PacktPublishing/PyTorch-Computer-Vision-Cookbook
PyTorch Computer Vision Cookbook, Published by Packt
tensorflow/hub
A library for transfer learning by reusing parts of TensorFlow models.
DeepLabCut/DeepLabCut
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
BenLangmead/ads1-notebooks
Copies of notebooks used in the practical sessions for Algorithms for DNA Sequencing
ubiquitous-computing-lab/AI-CDSS-Cardiovascular-Silo
The artificial intelligence plays an essential role as an assistant to the physicians in decision making for the diagnosis, treatment, and follow up. However, the smartness and intelligence of the system depends on the knowledge base. There are many knowledge resources of knowledge for cardiovascular disease diagnosis, treatment, and prevention such as published guidelines, articles, real practice data, and experts’ heuristics and experiences. The proposed system AI-CDSS for HF diagnosis evolves the knowledge base with hybrid knowledge acquisition approach by emergence of expert-driven and data-driven approaches. The knowledge acquisition methodology is inspired from our previous work
google-deepmind/sonnet
TensorFlow-based neural network library
qchaldemer/dlaicourse
Notebooks for learning deep learning
lmoroney/dlaicourse
Notebooks for learning deep learning
tensorflow/datasets
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
udacity/nd320-c3-3d-med-imaging
udacity/nd320-c1-emr-data-starter
tensorflow/probability
Probabilistic reasoning and statistical analysis in TensorFlow
dssg/aequitas
Bias Auditing & Fair ML Toolkit
Google-Health/records-research
udacity/nd320-c4-wearable-data-project-starter
udacity/nd320-c4-wearable-data-starter
google-research/bert
TensorFlow code and pre-trained models for BERT
ncbi-nlp/NegBio
:newspaper: High-performance tool for negation and uncertainty detection in radiology reports