一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFM, xDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,AFN,ONN,DIN, DIEN ... （pytorch, tf2.0）

A high-throughput and memory-efficient inference and serving engine for LLMs

Learn GPU Programming in Mojo🔥 by Solving Puzzles

Package management made easy

JAX-like Neural Network Training Library in Python with CPU/GPU Acceleration via Mojo and MAX

Examples for Recommenders - easy to train and deploy on accelerated infrastructure.

Backward compatible ML compute opset inspired by HLO/MHLO

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

Flax is a neural network library for JAX that is designed for flexibility.

The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.

MLX: An array framework for Apple silicon

Fast ML inference & training for ONNX models in Rust

Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.

SGLang is a fast serving framework for large language models and vision language models.

BladeDISC is an end-to-end DynamIc Shape Compiler project for machine learning workloads.

Intel® Extension for TensorFlow*

A personal experimental C++ Syntax 2 -> Syntax 1 compiler

A retargetable MLIR-based machine learning compiler and runtime toolkit.

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Enabling PyTorch on XLA Devices (e.g. Google TPU)

Development repository for the Triton language and compiler

A list of awesome compiler projects and papers for tensor computation and deep learning.

A machine learning compiler for GPUs, CPUs, and ML accelerators

An implementation of a deep learning recommendation model (DLRM)

mal - Make a Lisp

LLM training in simple, raw C/CUDA

Zerocopy makes zero-cost memory manipulation effortless. We write `unsafe` so you don’t have to.