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🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Deep Learning for humans
Deepfakes Software For All
💫 Industrial-strength Natural Language Processing (NLP) in Python
PyTorch Tutorial for Deep Learning Researchers
Graph Neural Network Library for PyTorch
Open standard for machine learning interoperability
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Code samples for my book "Neural Networks and Deep Learning"
Machine learning, in numpy
Python package built to ease deep learning on graph, on top of existing DL frameworks.
A MNIST-like fashion product database. Benchmark :point_down:
pix2code: Generating Code from a Graphical User Interface Screenshot
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
A paper list of object detection using deep learning.
Minimal and clean examples of machine learning algorithms implementations
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
TensorFlow-based neural network library
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Deep Reinforcement Learning for Keras.
Build Graph Nets in Tensorflow
A PyTorch Library for Accelerating 3D Deep Learning Research