yolov7-object-tracking VS FLiPStackWeekly

Compare yolov7-object-tracking vs FLiPStackWeekly and see what are their differences.

yolov7-object-tracking

YOLOv7 Object Tracking Using PyTorch, OpenCV and Sort Tracking (by RizwanMunawar)

FLiPStackWeekly

FLaNK AI Weekly covering Apache NiFi, Apache Flink, Apache Kafka, Apache Spark, Apache Iceberg, Apache Ozone, Apache Pulsar, and more... (by tspannhw)
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yolov7-object-tracking FLiPStackWeekly
2 83
535 14
- -
2.8 9.9
22 days ago 7 days ago
Python
GNU General Public License v3.0 only Apache License 2.0
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.

yolov7-object-tracking

Posts with mentions or reviews of yolov7-object-tracking. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-08.

FLiPStackWeekly

Posts with mentions or reviews of FLiPStackWeekly. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-06.

What are some alternatives?

When comparing yolov7-object-tracking and FLiPStackWeekly you can also consider the following projects:

concrete-ml - Concrete ML: Privacy Preserving ML framework built on top of Concrete, with bindings to traditional ML frameworks.

gorilla-cli - LLMs for your CLI

1brc - 1️⃣🐝🏎️ The One Billion Row Challenge -- A fun exploration of how quickly 1B rows from a text file can be aggregated with Java

awk-raycaster - Pseudo-3D shooter written completely in gawk using raycasting technique

paxml - Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading model flop utilization rates.

litellm - Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)

Youtube2Webpage - I learn much better from text than from videos

modelscope - ModelScope: bring the notion of Model-as-a-Service to life.

ultralytics - NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

create-nifi-pulsar-flink-apps - How to create a real-time scalable streaming app using Apache NiFi, Apache Pulsar and Apache Flink SQL

hands-on-train-and-deploy-ml - Train and Deploy an ML REST API to predict crypto prices, in 10 steps

FLiP-PulsarSummit2022Asia - FLiP-PulsarSummit2022Asia: Pulsar Summit Asia 2022