cyr0930

coursera_machine_learning

octave codes for coursera machine learning class

google_coding_competitions

impl

machine learning implementation practice

python

pytorch_geometric

Graph Neural Network Library for PyTorch

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

keras-preprocessing

Utilities for working with image data, text data, and sequence data.

pytorch-lightning

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

streaming-llm

[ICLR 2024] Efficient Streaming Language Models with Attention Sinks

TensorRT-LLM

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

cyr0930/coursera_machine_learning

octave codes for coursera machine learning class

cyr0930/google_coding_competitions

cyr0930/impl

machine learning implementation practice

cyr0930/python

cyr0930/pytorch_geometric

Graph Neural Network Library for PyTorch

cyr0930/transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.