Machine learning on FPGAs using HLS
APACHE-2.0 License
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Ka...
DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Ne...
Resource Utilization and Latency Estimation for ML on FPGA.
AutoML library for deep learning
Accumulated Gradients for TensorFlow 2
In this repository, I will share some useful notes and references about deploying deep learning-b...
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabli...
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g...
A collection of computer vision pre-trained models.
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, ...
An implementation of Fastformer: Additive Attention Can Be All You Need, a Transformer Variant in...
Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlo...
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Seamless analysis of your PyTorch models (RAM usage, FLOPs, MACs, receptive field, etc.)