Code for Tensorflow Machine Learning Cookbook
- tensorflow
- tensorflow-cookbook
- linear-regression
- neural-network
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Code for Tensorflow Machine Learning Cookbook
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
Simple tutorials using Google's TensorFlow Framework
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
250+ Fine-tuning & RL Notebooks for text, vision, audio, embedding, TTS models.
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
From the basics to slightly more interesting applications of Tensorflow
Translated【🔞🔞🔞 Contains images not suitable for minors】AI exploration and summary based on my strengths in programming, drawing, and writing: StableDiffusion is a powerful image generation model that can generate new images by evolving an existing image. ChatGPT is a Transformer-based language generation model that can automatically generate suitable articles for an input topic. And Github Copilot is an intelligent programming assistant that can speed up everyday programming activities.
Efficient Image Captioning code in Torch, runs on GPU
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Create delightful software with Jupyter Notebooks
Neo4j graph construction from unstructured data using LLMs
Reference models and tools for Cloud TPUs.
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
Sutskever 30 implementations inspired by https://papercode.vercel.app/ | For Agents, use https://github.com/pageman/Sutskever-Agent | Polyglot / Multi-Backed version at https://github.com/pageman/sutskever-30-beyond-numpy
Repo for the Deep Reinforcement Learning Nanodegree program
Translated"A Guide to Building the Large Model White Box": a Tiny-Universe made entirely by hand
links to conference publications in graph-based deep learning
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