Stars
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
TensorFlow code and pre-trained models for BERT
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Graph Neural Network Library for PyTorch
A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations
DALL·E Mini - Generate images from a text prompt
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
A concise but complete full-attention transformer with a set of promising experimental features from various papers
A library to manipulate font files from Python.
Recursive Mono & Sans is a variable font family for code & UI
Evaluation and Tracking for LLM Experiments and AI Agents
A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
Benchmark datasets, data loaders, and evaluators for graph machine learning
🔡 Token level embeddings from BERT model on mxnet and gluonnlp
Tensorflow's Fairness Evaluation and Visualization Toolkit
(DEMO) Repository architecture example for a typeface design project
Self Driving Car Decal taught by Machine Learning @ Berkeley, fall 2019 at UC Berkeley.
SVM trained on Wikipedia dataset to identify patterns in different languages. Type in a word and the model will predict the language.