FID computation in Jax/Flax.
? Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
? Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
Compute FID scores with PyTorch.
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.
