warp-drive VS torchrec

Compare warp-drive vs torchrec and see what are their differences.

warp-drive

Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022) (by salesforce)
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
warp-drive torchrec
1 1
435 1,733
1.1% 1.6%
8.1 9.8
27 days ago 3 days ago
Python Python
BSD 3-clause "New" or "Revised" License BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

warp-drive

Posts with mentions or reviews of warp-drive. We have used some of these posts to build our list of alternatives and similar projects.

torchrec

Posts with mentions or reviews of torchrec. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing warp-drive and torchrec you can also consider the following projects:

Simple-MADRL-Chess - MADRL project solving chess environment using PPO with two different methods: 2 agents/networks and a single agent/network.

Federated-Recommendation-Neural-Collaborative-Filtering - Federated Neural Collaborative Filtering (FedNCF). Neural Collaborative Filtering utilizes the flexibility, complexity, and non-linearity of Neural Network to build a recommender system. Aim to federate this recommendation system.

TransformerEngine - A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.

federeco - implementation of federated neural collaborative filtering algorithm

simba-ps - Fast deterministic all-Python Lennard-Jones particle simulator that utilizes Numba for GPU-accelerated computation.

NVTabular - NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

chainer - A flexible framework of neural networks for deep learning

LLMRec - [WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"

jittor - Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.

NewsMTSC - Target-dependent sentiment classification in news articles reporting on political events. Includes a high-quality data set of over 11k sentences and a state-of-the-art classification model.

cog - Containers for machine learning

FastFold - Optimizing AlphaFold Training and Inference on GPU Clusters