Dev tools · alternatives · 2026

24 alternatives to DBoost stochastic gradient boosting via Ridge with random dummies

Stochastic Dummy Boosting. Contribute to mikeskim/dboost development by creating an account on GitHub.

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. DBoost stochastic gradient boosting via Ridge with random dummies launched in 2016; newer entries below may have overtaken it.

1
Boldly go where Gradient Descent has never gone before with DiscoGrad▲232
Trying to do gradient descent using automatic differentiation over branchy programs? Or to combine them with neural networks for end-to-end training? Then this might be interesting to you. We develped DiscoGrad, a tool for automatic differentiation through C++ programs involving input-dependent control flow (e.g., "if (f(x) < c) { ... }", differentiating wrt. x) and randomness. Our initial motivation was to enable the use of gradient descent with simulations, which often rely heavily on such discrete branching. The latter makes plain autodiff mostly useless, since it can only account for the…
2024 · github.com · its alternatives →
2
SVG Mesh Gradient Generator▲257
Create unique customizable SVG gradients with MagicPattern
2022 · magicpattern.design · its alternatives →
3
Fullstack ML – From Notebooks to Deployment▲198
Contribute to xadrianzetx/fullstack.ai development by creating an account on GitHub.
2019 · github.com · its alternatives →
4
Weights & Biases▲110
Developer tools for deep learning & machine learning
2019 · wandb.ai · its alternatives →
5
Gradientify▲282
Find the perfect gradient for your next projects.
2022 · its alternatives →
6
Provide a CSV and a target field, generate a model and code to run it▲172
Provide an input CSV and a target field to predict, generate a model + code to run it. - minimaxir/automl-gs
2019 · github.com · its alternatives →
7
Meshed Up!▲217
SVG mesh gradients to easily copy paste on your project
2022 · its alternatives →
8
Grade▲112
Complementary gradients generated from images
2016 · benhowdle.im · its alternatives →
9
L'art du dégradé▲71
Your go-to gizmo for generating goofy gradients
2022 · art-of-the-gradient.tone-row.com · its alternatives →
10
Generate random gradients like on OpenAI's website▲33
2025 · gradients.venki.dev · its alternatives →
11
A radically more scalable alternative to Bayesian Optimization▲96
Experimental Global Optimization Algorithm. Contribute to chrisstroemel/Simple development by creating an account on GitHub.
2018 · github.com · its alternatives →
12
A weekend replication of STOKE, a stochastic superoptimiser▲58
Haskell re-implementation of STOKE, the stochastic superoptimizer - blaze/notebooks/tutorial.ipynb at master · bollu/blaze
2019 · github.com · its alternatives →
13
A Go implementation of TensorFlow's streaming quantiles estimator▲98
Optimal Quantile Approximation in Streams. Contribute to axiomhq/quantiles development by creating an account on GitHub.
2018 · github.com · its alternatives →
14
Gradient 1.0▲92
Build and scale real-world machine learning applications
2021 · its alternatives →
15
Color Morph▲67
Randomly generate mesh gradients
2022 · tiny.photos · its alternatives →
16AG
A GPU-accelerated binary vector index▲65
This is a vector index I built that supports insertion and k-nearest neighbors (k-NN) querying, optimized for GPUs. It operates entirely in CUDA and can process queries on half a billion vectors in under 200 milliseconds. The codebase is structured as a standalone library with an HTTP API for remote access. It’s intended for high-performance search tasks—think similarity search, AI model retrieval, or reinforcement learning replay buffers. The codebase is located at https://github.com/rodlaf/BinaryGPUIndex.
2025 · rlafuente.com · its alternatives →
17
Gradient▲85
ML-Powered Databricks Cluster Optimization for All
2023 · capitalonesoftware.com · its alternatives →
18
I wrote an autodiff in C++ and implemented LeNet with it▲36
2024 · gitlab.com · its alternatives →
19
Gradient Zoo▲63
Version and share your trained neural network models
2016 · its alternatives →
20
Random Gradient▲9
A random gradient generator with hex codes
2016 · ahmedtarek2134.github.io · its alternatives →
21
Minimal LLM Post-Training Experiments on an 8GB GPU (SFT, DPO, GRPO)▲21
Minimal, readable LLM post-training experiments on one 8GB GPU. Measures forgetting, seed variance, and RL emergence. - pochenai/nano-llm-posttraining
Aug 2026 · github.com · its alternatives →
22
I wrote a minimal deep learning library from scratch in Python▲25
A minimalist deep learning library written from scratch in Python - sradc/SmallPebble
2021 · github.com · its alternatives →
23
NoiseGradient.com▲6
Generate beautiful gradients in seconds
Feb 2026 · noisegradient.com · its alternatives →
24
Compile ML models into dependency-free source code for easy deployment▲37
I'm a machine learning engineer who always found it annoying to integrate ML models into phone apps, smartwatch apps, microcontroller firmware etc... Why do we need all these libraries and runtimes with all the overhead, compatibility issues and other headaches, when it's just some math to be executed? So I made a compiler that simply converts the model into plain source code with no dependencies, and it actually solved all my deployment problems. Now I'm curious if it can help anyone else too. Through the link you can submit your model file (Keras h5, onnx soon to be supported), and I'll…
2023 · waveworks.dk · 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 →