π€ Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
created at Oct. 29, 2018, 1:56 p.m.
The world's simplest facial recognition api for Python and the command line
created at March 3, 2017, 9:52 p.m.
Making large AI models cheaper, faster and more accessible
created at Oct. 28, 2021, 4:19 p.m.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
created at Oct. 25, 2016, 7:38 p.m.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
created at Feb. 2, 2019, 5:51 a.m.
Build and share delightful machine learning apps, all in Python. π Star to support our work!
created at Dec. 19, 2018, 8:24 a.m.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
created at Sept. 5, 2019, 9:30 p.m.
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
created at March 31, 2019, 12:45 a.m.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
created at Jan. 23, 2015, 7:38 p.m.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
created at Oct. 5, 2017, 5:32 p.m.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
created at Feb. 5, 2017, 12:11 p.m.