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Scalable RL solution for advanced reasoning of language models
[CVPR2024] SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution
[IJCV2024] Exploiting Diffusion Prior for Real-World Image Super-Resolution
SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild. Our new online demo is also released at suppixel.ai.
[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting
Inpaint anything using Segment Anything and inpainting models.
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 2, and other large language models.
Efficient Triton Kernels for LLM Training
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.
MSCCL++: A GPU-driven communication stack for scalable AI applications
Collection of kernels written in Triton language
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting yo…
Code and documentation to train Stanford's Alpaca models, and generate the data.
SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 14+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.
A collection of sample programs, notebooks, and tools which highlight the power of the MAX Platform
FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.
📖A curated list of Awesome LLM/VLM Inference Papers with codes: WINT8/4, Flash-Attention, Paged-Attention, Parallelism, etc. 🎉🎉
Measures microarchitectural details such as ROB size. Like https://github.com/travisdowns/robsize but without runtime code generation, which doesn't work on some platforms. Public domain except whe…
Transcription, forced alignment, and audio indexing with OpenAI's Whisper
Robust Speech Recognition via Large-Scale Weak Supervision
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
“连续八年成为全世界最受喜爱的语言,无 GC 也无需手动内存管理、极高的性能和安全性、过程/OO/函数式编程、优秀的包管理、JS 未来基石" — 工作之余的第二语言来试试 Rust 吧。本书拥有全面且深入的讲解、生动贴切的示例、德芙般丝滑的内容,这可能是目前最用心的 Rust 中文学习教程 / Book
Learning Rust By Practice, narrowing the gap between beginner and skilled-dev through challenging examples, exercises and projects.