Popular GitHub Repositories for Clang Format

Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

A collection of pre-trained, state-of-the-art models in the ONNX format

File Parser optimised for LLM Ingestion with no loss ? Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.

Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..

A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

An Open-Source Python3 tool with SMALL models for recognizing layouts, tables, math formulas (LaTeX), and text in images, converting them into Markdown format. A free alternative to Mathpix, empowering seamless conversion of visual content into text-based representations. 80+ languages are supported.

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

This is a tool that uses a multimodal LLM to transcribe PDF files into Markdown format. 借助多模态大模型将PDF文件转为Markdown

High-performance automatic differentiation of LLVM and MLIR.

This project converts the API of Anthropic's Claude model to the OpenAI Chat API format.

This is a project that unifies the management of LLM APIs. It can call multiple backend services through a unified API interface, convert them to the OpenAI format uniformly, and support load balancing. Currently supported backend services include: OpenAI, Anthropic, DeepBricks, OpenRouter, Gemini, Vertex, etc.

Prompty makes it easy to create, manage, debug, and evaluate LLM prompts for your AI applications. Prompty is an asset class and format for LLM prompts designed to enhance observability, understandability, and portability for developers.

We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the

Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tf). I don't need a Star, but give me a pull request.

LLM 逆向工程接口管理 | 通过标准 OpenAI API 访问 ChatGPT / gpt4free / Bard / Claude / HuggingChat / 通义千问 等 AI 的破解版 || ChatGPT reverse engineering API management | Access all reverse engineered LLM libs by standard OpenAI API format || 免费 ChatGPT Free GPT LLM API | 逆向工程 转 OpenAI API | converts all llm libs to OpenAI API

JamTools是一个跨平台的小工具集类软件，支持Windows7/8/10/11、Macos、ubuntu系统(其他系统可以直接从源码编译打包)。包含了(滚动/区域)截屏、录屏、文字识别、多种语言互译、多媒体格式转换、鼠标键盘动作录制播放、局域网文件传输、聊天机器人等功能，完全开源!

DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome

Quickly format your notes with ChatGPT in Obsidian

Govern, Secure, and Optimize your AI Traffic. AI Gateway provides unified interface to all LLMs using OpenAI API format with a focus on performance and reliability. Built in Rust.