jestan

jestan's Stars

• NVIDIA/TensorRT-LLM

  TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

  Language:C++9k1k

• apple/pkl

  A configuration as code language with rich validation and tooling.

  Language:Java10.4k280

• triton-inference-server/tensorrtllm_backend

  The Triton TensorRT-LLM Backend

  Language:Python733111

• awslabs/llrt

  LLRT (Low Latency Runtime) is an experimental, lightweight JavaScript runtime designed to address the growing demand for fast and efficient Serverless applications.

  Language:JavaScript8.2k361

• a16z-infra/llm-app-stack

  1.1k105

• stas00/ml-engineering

  Machine Learning Engineering Open Book

  Language:Python12.1k734

• apernet/OpenGFW

  OpenGFW is a flexible, easy-to-use, open source implementation of GFW (Great Firewall of China) on Linux

  Language:Go9.9k741

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook40.3k4.3k

• shred/acme4j

  Java client for ACME (Let's Encrypt)

  Language:Java52495

• open-spaced-repetition/fsrs4anki

  A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm

  Language:Jupyter Notebook2.9k139

• rasbt/LLMs-from-scratch

  Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

  Language:Jupyter Notebook36k4.5k

• pola-rs/polars

  Dataframes powered by a multithreaded, vectorized query engine, written in Rust

  Language:Rust31.1k2k

• lit/lit

  Lit is a simple library for building fast, lightweight web components.

  Language:TypeScript19k939

• casid/jte

  Secure and speedy templates for Java and Kotlin.

  Language:Java87668

• jspecify/jspecify

  An artifact of fully-specified annotations to power static-analysis checks, beginning with nullness analysis.

  Language:Java61130

• johnma2006/mamba-minimal

  Simple, minimal implementation of the Mamba SSM in one file of PyTorch.

  Language:Python2.7k194

• truera/trulens

  Evaluation and Tracking for LLM Experiments

  Language:Python2.2k197

• facebookresearch/seamless_communication

  Foundational Models for State-of-the-Art Speech and Text Translation

  Language:Jupyter Notebook11k1.1k

• yformer/EfficientSAM

  EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

  Language:Jupyter Notebook2.2k152

• Understanding-Visual-Datasets/VisDiff

  Official implementation of "Describing Differences in Image Sets with Natural Language" (CVPR 2024 Oral)

  Language:Jupyter Notebook11112

• rough-stuff/rough

  Create graphics with a hand-drawn, sketchy, appearance

  Language:HTML20k620

• google/sentencepiece

  Unsupervised text tokenizer for Neural Network-based text generation.

  Language:C++10.4k1.2k

• F-star/suika

  A Web Graphics Editor Built with Canvas. 基于 Canvas 实现的图形编辑器

  Language:TypeScript57389

• state-spaces/mamba

  Mamba SSM architecture

  Language:Python13.6k1.2k

• Guseyn/EHTML

  HTML as Template Language

  Language:JavaScript23912

• bbycroft/llm-viz

  3D Visualization of an GPT-style LLM

  Language:TypeScript4.2k460

• onyx-lang/onyx

  ✨ The compiler and developer toolchain for Onyx

  Language:C58223

• Mozilla-Ocho/llamafile

  Distribute and run LLMs with a single file.

  Language:C++21k1.1k

• nihalsid/mesh-gpt

  MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers

  63513

• visioncortex/vtracer

  Raster to Vector Graphics Converter

  Language:Rust3.6k245