Life & fun · alternatives · 2026

24 alternatives to Faster R-CNN object detector implemented in PyTorch and TensorFlow 2

Fresh and (I think) clean implementations of Faster R-CNN in PyTorch and TensorFlow 2/Keras. I wanted to learn about object detectors and decided to understand and implement a foundational model in the field, Faster R-CNN (elements of which are still used in modern models to this day), using the paper alone. That proved to be more difficult than expected and I had to relent and take a peak at existing implementations to fill in some important gaps. I've documented my struggles and learnings in the README for others to benefit from. I also wanted to solidify my understanding of…

This software provides implementations of Faster R-CNN, a foundational object detection model, in both PyTorch and TensorFlow 2/Keras. Built by a developer learning the architecture from the original research paper, it… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Faster R-CNN object detector implemented in PyTorch and TensorFlow 2 launched in 2022; newer entries below may have overtaken it.

1
TensorFlow 1.0▲823
Open-source machine learning library by Google
2017 · tensorflow.org · its alternatives →
2
Object Detection with Pytorch▲21
An online course on how to detect objects in real time
2019 · lode88vn.skin · its alternatives →
3
Fast Style Transfer in TensorFlow▲184
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼. Contribute to lengstrom/fast-style-transfer development by creating an account on GitHub.
2016 · github.com · its alternatives →
4
Weights & Biases▲110
Developer tools for deep learning & machine learning
2019 · wandb.ai · its alternatives →
5
Annot8▲140
The fastest way to tag images for object detection datasets
2025 · apps.apple.com · its alternatives →
6UD
Using deep learning to detect objects from your webcam▲95
2018 · modeldepot.github.io · its alternatives →
7
Comprehensive Tutorials in Deep Learning Using TensorFlow▲327
:satellite: Simple and ready-to-use tutorials for TensorFlow - GitHub - instillai/TensorFlow-Course: :satellite: Simple and ready-to-use tutorials for TensorFlow
2018 · github.com · its alternatives →
8
Fast Deep Reinforcement Learning Course▲148
I worked on this applied Deep Reinforcement Learning course for the better part of 2021. I made a Datacamp course [0] before, and this served as my inspiration to make an applied Deep RL series. Normally, Deep RL courses teach a lot of mathematically involved theory. You get the practical applications near the end (if at all). I have tried to turn that on its head. In the top-down approach, you learn practical skills first, then go deeper later. This is much more fun. This course (the first in a planned multi-part series) shows how to use the Deep Reinforcement Learning framework RLlib to…
2022 · courses.dibya.online · its alternatives →
9
TensorFlow 1.0▲80
Open-source machine learning library by Google
2018 · tensorflow.org · its alternatives →
10
Mask R-CNN Neural Network for Mapping Sport Fields in OpenStreetMap▲94
Use Mask R-CNN/Keras/TensorFlow and OSM to find features in satellite images for fun. - jremillard/images-to-osm
2018 · github.com · its alternatives →
11
Simple and comprehensive tutorials in Deep Learning using TensorFlow▲157
Simple and comprehensive tutorials in TensorFlow. Contribute to easy-tensorflow/easy-tensorflow development by creating an account on GitHub.
2018 · github.com · its alternatives →
12
Run TRELLIS.2 Image-to-3D generation natively on Apple Silicon▲202
I ported Microsoft's TRELLIS.2 (4B parameter image-to-3D model) to run on Apple Silicon via PyTorch MPS. The original requires CUDA with flash_attn, nvdiffrast, and custom sparse convolution kernels: none of which work on Mac. I replaced the CUDA-specific ops with pure-PyTorch alternatives: a gather-scatter sparse 3D convolution, SDPA attention for sparse transformers, and a Python-based mesh extraction replacing CUDA hashmap operations. Total changes are a few hundred lines across 9 files. Generates ~400K vertex meshes from single photos in about 3.5 minutes on M4 Pro (24GB). Not as fast as…
Apr 2026 · github.com · its alternatives →
13
Real-Time YOLO Object Detection in Elixir: Fast, Simple, Extensible▲96
A library for object detection and seamless YOLO model integration in Elixir - poeticoding/yolo_elixir
2024 · github.com · its alternatives →
14
Deep Learning in TensorFlow – The Roadmap for Study and Learning▲146
:satellite: Organized & Useful Resources about Deep Learning with TensorFlow - astorfi/TensorFlow-World-Resources
2019 · github.com · its alternatives →
15
Fast.ai Camera App for CNNs▲34
Camera web app that connects to a (fast.ai) CNN. Contribute to TylerNoblett/fastai-cnn-camera-app development by creating an account on GitHub.
2020 · github.com · its alternatives →
16
Nyckel Object Detection▲84
The machine learning API for non-experts
2022 · nyckel.com · its alternatives →
17
R-CNN Trainer▲1
R-CNN Trainer is a application for object detection models.
Jul 2026 · apps.microsoft.com · its alternatives →
18
Malt▲68
The fastest way to turn videos into training data
2022 · its alternatives →
19
I built a tensor library from scratch in C++/CUDA▲119
Hi HN, Over the past few months, I've been building `dsc`, a tensor library from scratch in C++/CUDA. My main focus has been on getting the basics right, prioritizing a clean API, simplicity, and clear observability for running small LLMs locally. The key features are: - C++ core with CUDA support written from scratch. - A familiar, PyTorch-like Python API. - Runs real models: it's complete enough to load a model like Qwen from HuggingFace and run inference on both CUDA and CPU with a single line change[1]. - Simple, built-in observability for both Python and C++. Next on the roadmap is…
2025 · github.com · its alternatives →
20
Visual Search using features extracted from Tensor Flow inception model▲75
2016 · github.com · its alternatives →
21
LeanRL: Fast PyTorch RL with Torch.compile and CUDA Graphs▲53
We're excited to announce that we've open-sourced LeanRL, a lightweight PyTorch reinforcement learning library that provides recipes for fast RL training using torch.compile and CUDA graphs. By leveraging these tools, we've achieved significant speed-ups compared to the original CleanRL implementations - up to 6x faster! Reinforcement learning is notoriously CPU-bound due to the high frequency of small CPU operations. PyTorch's powerful compiler can help alleviate these issues, but comes with its own costs. LeanRL addresses this challenge by providing simple recipes to accelerate your…
2024 · github.com · its alternatives →
22
Real-World Datasets for Benchmarking Object Detection Models▲13
Advancing the state-of-the-art in object recognition with a new way to benchmark computer vision models across domains and task targets.
2022 · rf100.org · its alternatives →
23
NeuroFlow 55.8x video inference speedup for Vision Transformers PyTorch▲8
Official PyTorch implementation of NeuroFlow: EMA-Gated Temporal Sequence Compression for Vision Transformers. Achieves up to 55.8x wall-clock speedup for video inference via semantic surprise routing and a training-free Dual-Memory Reconstruction Protocol. - ynnk-research/-NeuroFlow
May 2026 · github.com · its alternatives →
24
A general-purpose encoder-decoder framework for Tensorflow▲54
A general-purpose encoder-decoder framework for Tensorflow - google/seq2seq
2017 · github.com · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →