BhAem

Hydra

[IEEE Transactions on Computers 23]Hydra: Deadline-aware and Efficiency-oriented Scheduling for Deep Learning Training Jobs on Heterogeneous GPUs

pybnn

Bayesian neural network package

bnn-bo

Bayesian Neural Network Surrogates for Bayesian Optimization

BNN_BO

Implement BO with BNNs and GPs

transfer-hpo-framework

Code accompanying https://arxiv.org/abs/1802.02219

MMAML-TSR

Multi-modal meta-learning for time series regression

learn2learn

A PyTorch Library for Meta-learning Research

pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

MAML-Pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

deeplearning-benchmark

Benchmark Suite for Deep Learning

torch-graph-visualizer

a visualization tool to investigate bottlenecks of the computational graph in PyTorch

training

Reference implementations of MLPerf™ training benchmarks

tiny-gpu

A minimal GPU design in Verilog to learn how GPUs work from the ground up

AMF

Experiments for the paper "AMF: Aggregated Mondrian Forests for Online Learning"

mondrianforest

Code for Mondrian Forests (for classification and regression)

optuna

A hyperparameter optimization framework

distributed_tutorial

how-to-optim-algorithm-in-cuda

how to optimize some algorithm in cuda.

how-to-learn-deep-learning-framework

how to learn PyTorch and OneFlow

tvm_mlir_learn

compiler learning resources collect.

hpc-learning

hpc-learning

openmlsys-zh

《Machine Learning Systems: Design and Implementation》- Chinese Version

FreeGPT35

Utilize the unlimited free GPT-3.5-Turbo API service provided by the login-free ChatGPT Web.

Stash

DS-Analyzer

inference

Reference implementations of MLPerf™ inference benchmarks

llama_index

LlamaIndex is a data framework for your LLM applications

punica

Serving multiple LoRA finetuned LLM as one

awesome-prompts

Curated list of chatgpt prompts from the top-rated GPTs in the GPTs Store. Prompt Engineering, prompt attack & prompt protect. Advanced Prompt Engineering papers.

gavel

Code for "Heterogenity-Aware Cluster Scheduling Policies for Deep Learning Workloads", which appeared at OSDI 2020