Topic: large-scale-machine-learning Goto Github
Some thing interesting about large-scale-machine-learning
Some thing interesting about large-scale-machine-learning
large-scale-machine-learning,Crack SWE (ML) / DS MAANG Interviews
User: akashsonowal
Home Page: https://akashsonowal.github.io/mle-foundations/
large-scale-machine-learning,A fully adaptive, zero-tuning parameter manager that enables efficient distributed machine learning training
User: alexrenz
Home Page: https://arxiv.org/abs/2206.00470
large-scale-machine-learning,Official Code Base for ICLR 2024 paper Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction
User: anirudhb11
large-scale-machine-learning,[DEPRECEATED] Multi-Instrumental Music Transformer trained on 12GB/400k MIDIs
User: asigalov61
large-scale-machine-learning,[DEPRECEATED] Piano Transformer model trained on 2.6GB of MIDI piano music
User: asigalov61
Home Page: https://soundcloud.com/aleksandr-sigalov-61/sets/giga-piano-solo-piano-music-ai
large-scale-machine-learning,SOTA Google's Perceiver-AR Music Transformer Implementation and Model
User: asigalov61
Home Page: https://github.com/google-research/perceiver-ar
large-scale-machine-learning,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.
User: astorfi
large-scale-machine-learning,A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Organization: ethicalml
Home Page: https://ethical.institute/principles.html
large-scale-machine-learning,Our full length research is finally acknowledged through double-blind review procedure.
User: importrayhan
large-scale-machine-learning,Materials for "Machine Learning on Big Data" course
User: ishugaepov
large-scale-machine-learning,This project is for developing a deep neural networks and its variant from scratch. No external libraries are used except for GPU operations.
User: khushnood
large-scale-machine-learning,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.
User: knagrecha
large-scale-machine-learning,Carefully curated list of awesome data science resources.
User: natnew
large-scale-machine-learning,This is the official codebase for KDD 2021 paper Generalized Zero-Shot Extreme Multi-Label Learning
User: nilesh2797
large-scale-machine-learning,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.
User: rajeshthallam
large-scale-machine-learning,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.
User: swghosh
large-scale-machine-learning,Keras implementation of the renowned publication "FaceNet: A Unified Embedding for Face Recognition and Clustering" by Schroff et al.
User: swghosh
large-scale-machine-learning,Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo
User: terrytangyuan
Home Page: https://bit.ly/2RKv8Zo
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