Stars
Add Dendrites to your PyTorch Project
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
A conda-smithy repository for finetuning-scheduler.
A conda-smithy repository for finetuning-scheduler.
A PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
A set of "real-time" covid19 county-level dashboards w/ national and state choropleths for monitoring localized infection resurgences as distancing, testing and tracing measures evolve.
List of Computer Science courses with video lectures.
Book about interpretable machine learning
Lab materials for the Full Stack Deep Learning Course
Deep_classiflie_db is the backend data system for managing Deep Classiflie metadata, analyzing Deep Classiflie intermediate datasets and orchestrating Deep Classiflie model training pipelines. Deep…
Deep Classiflie is a framework for developing ML models that bolster fact-checking efficiency. As a POC, the initial alpha release of Deep Classiflie generates/analyzes a model that continuously cl…
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing…
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Masking tokens to modify the predictions of a pretrained sentence classifier
Attributing predictions made by the Inception network using the Integrated Gradients method
Style guides for Google-originated open-source projects
Repository for the talk: Tensorflow 2.0 and Keras: what's new, what's shared, what's different
👉 Tensorflow 2.x resources such as tutorial, blog, code and videos
Practical Exercises in TensorFlow 2.0 for Ian Goodfellows Deep Learning Book
Tensorflow implementation of contextualized word representations from bi-directional language models
Storage and retrieval of Word Embeddings in various databases
A best practice for tensorflow project template architecture.
TensorFlow Tutorials with YouTube Videos
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A general-purpose encoder-decoder framework for Tensorflow
A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Curated list of awesome GAN applications and demo