large-scale-machine-learning
There are 20 repositories under large-scale-machine-learning topic.
EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
terrytangyuan/distributed-ml-patterns
Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo
swghosh/DeepFace
Keras implementation of the renowned publication "DeepFace: Closing the Gap to Human-Level Performance in Face Verification" by Taigman et al. Pre-trained weights on VGGFace2 dataset.
openpsi-project/ReaLHF
Super-Efficient RLHF Training of LLMs with Parameter Reallocation
natnew/Awesome-Data-Science
Carefully curated list of awesome data science resources.
asigalov61/Perceiver-Music-Transformer
SOTA Google's Perceiver-AR Music Transformer Implementation and Model
nilesh2797/zestxml
This is the official codebase for KDD 2021 paper Generalized Zero-Shot Extreme Multi-Label Learning
astorfi/Large-Scale-AI-Blueprint
A comprehensive guide designed to empower readers with advanced strategies and practical insights for developing, optimizing, and deploying scalable AI models in real-world applications.
ishugaepov/MLBD
Materials for "Machine Learning on Big Data" course
knagrecha/hydra
Execution framework for multi-task model parallelism. Enables the training of arbitrarily large models with a single GPU, with linear speedups for multi-gpu multi-task execution.
alexrenz/AdaPM
A fully adaptive, zero-tuning parameter manager that enables efficient distributed machine learning training
asigalov61/Euterpe
[DEPRECEATED] Multi-Instrumental Music Transformer trained on 12GB/400k MIDIs
asigalov61/GIGA-Piano
[DEPRECEATED] Piano Transformer model trained on 2.6GB of MIDI piano music
swghosh/FaceNet
Keras implementation of the renowned publication "FaceNet: A Unified Embedding for Face Recognition and Clustering" by Schroff et al.
akashsonowal/interview-prep
Crack SWE (ML) / DS MAANG Interviews
anirudhb11/LEVER
Official Code Base for ICLR 2024 paper Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction
khushnood/DeepLearningJavaFromScratch
This project is for developing a deep neural networks and its variant from scratch. No external libraries are used except for GPU operations.
importrayhan/Exam-Result-with-Deep-Learning
Our full length research is finally acknowledged through double-blind review procedure.
hvpachisia/chicago-crime-large-scale
Analyzing crime in Chicago using large scale computing methods
RajeshThallam/fastertransformer-converter
This repository is a code sample to serve Large Language Models (LLM) on a Google Kubernetes Engine (GKE) cluster with GPUs running NVIDIA Triton Inference Server with FasterTransformer backend.