Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
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Updated
Jun 2, 2023 - Python
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Fast and flexible AutoML with learning guarantees.
SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution—all with a simple interface.
GPT2 for Multiple Languages, including pretrained models. GPT2 多语言支持, 15亿参数中文预训练模型
Everything we actually know about the Apple Neural Engine (ANE)
Everything you want to know about Google Cloud TPU
Implementation of a Tensor Processing Unit for embedded systems and the IoT.
Julia on TPUs
Free TPU for FPGA with compiler supporting Pytorch/Caffe/Darknet/NCNN. An AI processor for using Xilinx FPGA to solve image classification, detection, and segmentation problem.
Dual Edge TPU Adapter to use it on a system with single PCIe port on m.2 A/B/E/M slot
Differentiable Fluid Dynamics Package
EfficientNet, MobileNetV3, MobileNetV2, MixNet, etc in JAX w/ Flax Linen and Objax
TPU ile Yapay Sinir Ağlarınızı Çok Daha Hızlı Eğitin
Simple and efficient RevNet-Library for PyTorch with XLA and DeepSpeed support and parameter offload
DECIMER: Deep Learning for Chemical Image Recognition using Efficient-Net V2 + Transformer
Unofficial implementation of Octave Convolutions (OctConv) in TensorFlow / Keras.
A FPGA Based CNN accelerator, following Google's TPU V1.
EvoPose2D is a two-stage human pose estimation model that was designed using neuroevolution. It achieves state-of-the-art accuracy on COCO.
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