Dev tools · alternatives · 2026
24 alternatives to Minimal DL library in C – 24 NAIVE CUDA/CPU ops, autodiff, Python API
minimal DL library in C: 24 NAIVE cuda/cpu ops, autodiff engine, python API (ops bindings/layers/models), tensor abstraction, strides, complex indexing (multi-dim slices like numpy), computation-graph visualizer, saving/loading params, primitive garbage collection, autogenerated tests, optimizers, w
Minimal DL library in C is a deep learning framework that implements 24 basic operations for both CUDA and CPU, with automatic differentiation support. It's designed for developers who want a lightweight alternative to… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
- 1
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 →
- 2
built a tiny pytorch clone in c after going through prof. vijay janapa reddi's mlsys book: mlsysbook.ai/tinytorch/ perfect for learning how ml frameworks work under the hood :)
Dec 2025 · github.com · its alternatives →
- 3
A minimalist deep learning library written from scratch in Python - sradc/SmallPebble
2021 · github.com · its alternatives →
- 4
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 →
- 5
An experimental Python-to-C transpiler and domain specific language for embedded high-performance computing - zanellia/prometeo
2021 · github.com · its alternatives →
- 6
Hi HN, We're Anna, Adrian, Marcin and Matt, developers of dlt. dlt is an open source library to automatically create datasets out of messy, unstructured data sources. You can use the library to move data from about anywhere into most of well known SQL and vector stores, data lakes, storage buckets, or local engines like DuckDB. It automates many cumbersome data engineering tasks and can by handled by anyone who knows Python. Here’s our Github: https://github.com/dlt-hub/dlt Here’s our Colab demo:…
2023 · colab.research.google.com · its alternatives →
- 7
2024 · gitlab.com · its alternatives →
- 8
A minimal C runtime for Linux i386 & x86_64. Contribute to lpsantil/rt0 development by creating an account on GitHub.
2015 · github.com · its alternatives →
- 9
A re-implementation of Karpathy's micrograd in C. Contribute to oraziorillo/microcrad development by creating an account on GitHub.
Jun 2026 · github.com · its alternatives →
- 10
Simple, easy to use stream computation library for C++.
2016 · raftlib.io · its alternatives →
- 11
RightNow CLI▲121I locked in for 18 hours and built Claude Code for CUDA. It is completely open source! It writes CUDA kernels, debugs memory issues, and optimizes for your specific GPU. It is a fully agentic AI with tool calling built specifically for the CUDA toolkit This is the CLI version of RightNow AI code editor, our GPU-native code editor with a built-in emulator, visual profiling, and remote GPU access. The CLI is open source, lightweight, and fast. It is designed for anyone who wants AI help with CUDA without setup I used Python because it is the most common language, so anyone can build on top of…
2025 · github.com · its alternatives →
- 12
Software for DL application development without coding.
2018 · ai-dlp.com · its alternatives →
- 13IB
This weekend I created stacklib.h - a single-header library that brings Forth-style stack operations to C. It implements a basic interpreter with: - Stack operations (push/pop/dup/swap/over/drop) - Arithmetic (+, -, *, /) - Output (., emit, cr) - Stack inspection (.s, depth) Example usage: Stack s; stack_init(&s); dict_init(); exec(&s, "10 20 + ."); // Prints "30" exec(&s, "1 2 3 4 .s"); // Shows stack contents The library is self-contained, requires no dependencies, and handles basic error checking. It was inspired by wanting to understand…
2025 · its alternatives →
- 14AM
Hi all, I’m hacking on new features for the ClickHouse native client and wanted the same “just call the model” ergonomics JavaScript and Python now enjoy. It didn’t exist for modern C++, so I wrote one. ai‑sdk‑cpp (Apache‑2.0) gives you: - Unified calls to OpenAI (GPT‑4o) and Anthropic (Claude 3.5) with a single C++20 API. - Streaming, multi‑turn chat, error handling—all std::optional/std::variant, no macros. - Tool calling (function‑calling) so the model can hit real APIs; sync or async, runs in parallel. The tricky bit: C++ still lacks real reflection, so mapping plain functions →…
2025 · its alternatives →
- 15
🎁 A glib-like multi-platform c library. Contribute to tboox/tbox development by creating an account on GitHub.
2022 · github.com · its alternatives →
- 16
A tiny version of GPT fully implemented in Python with zero dependencies - isaacperez/tinygpt
2024 · github.com · its alternatives →
- 17
A minimal C runtime for Linux i386 & x86_64. Contribute to lpsantil/rt0 development by creating an account on GitHub.
2015 · github.com · its alternatives →
- 18
Hi HN! I've built [CXXStateTree](https://github.com/ZigRazor/CXXStateTree), a modern C++ header-only library to create hierarchical state machines with clean, intuitive APIs. It supports: - Deeply nested states - Entry/exit handlers - State transitions with guards and actions - Asynchronous transitions with `co_await` (C++20 coroutines) - Optional runtime type identification for flexibility It's ideal for complex control logic, embedded systems, games, robotics, and anywhere you'd use a finite state machine. I’d love feedback, use cases, or contributions from the…
2025 · github.com · its alternatives →
- 19
An on-premises, bare-metal solution for deploying GPU-powered applications in containers - emergingstack/es-dev-stack
2016 · github.com · its alternatives →
- 20CI
Tiny c++ interpreter
2017 · treefrogframework.github.io · its alternatives →
- 21
fundamental tools in the spirit of C. Contribute to codr7/libcodr7 development by creating an account on GitHub.
2019 · github.com · its alternatives →
- 22AG
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 →
- 23
Python stream processing for humans. Contribute to omegaml/minibatch development by creating an account on GitHub.
2020 · github.com · its alternatives →
- 24
A C++17 library for reading and writing NumPy .npy files, with optional .npz (zip) archive support - symisc/sy-numpy-cpp
Apr 2026 · github.com · its alternatives →
Also compare
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- Autograd.c – A tiny ML framework built from scratch alternatives
- I wrote a minimal deep learning library from scratch in Python alternatives
- Run TRELLIS.2 Image-to-3D generation natively on Apple Silicon alternatives
- Prometeo – a Python-to-C transpiler for high-performance computing alternatives
- Dlt – Python library to automate the creation of datasets alternatives
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