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A blazing fast inference solution for text embeddings models
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
Proxy server for triton gRPC server that inferences embedding model in Rust
Rust implementation of the HNSW algorithm (Malkov-Yashunin)
semantic vector search demo with gRPC server in Rust
Accessible large language models via k-bit quantization for PyTorch.
Medium to hard Rust questions with explanations
This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.
โ ๋ชจ๊ฐ์ฝํ๊ธฐ ์ข์ ๊ตญ๋ด ์นดํ ๋ฆฌ์คํธ
TensorFlow port of PyTorch Image Models (timm) - image models with pretrained weights.
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Official PyTorch implementation of StyleGAN3
Ranger deep learning optimizer rewrite to use newest components
optimizer & lr scheduler & loss function collections in PyTorch
StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (Vโฆ
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
๐ค Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
lots of single image super resolution model implementations in tensorflow