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TensorFlow documentation
Code for Tensorflow Machine Learning Cookbook
Silero Models: pre-trained text-to-speech models made embarrassingly simple
A scikit-learn compatible neural network library that wraps PyTorch
Pytorch🍊🍉 is delicious, just eat it! 😋😋
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.
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.
Implement a reasoning LLM in PyTorch from scratch, step by step
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.
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.
Notebooks for learning deep learning
Efficient Image Captioning code in Torch, runs on GPU
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Code Repository for Machine Learning with PyTorch and Scikit-Learn
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.
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.