Nexa SDK is a comprehensive toolkit for supporting GGML and ONNX models. It supports text generation, image generation, vision-language models (VLM), Audio Language Model, auto-speech-recognition (…

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

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

Packages the maps of Chinese cities for echarts.

🚗 Implementation of spatio-temporal graph convolutional network with PyTorch

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

Movie Gen Bench - two media generation evaluation benchmarks released with Meta Movie Gen

Build a keynote writing agent using CrewAI and watsonx.ai.

Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.

Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"

Generic rag framework to apply the power of LLMs on any given dataset

A Gradio web UI for Large Language Models with support for multiple inference backends.

Minimalist ML framework for Rust

🦀 Small exercises to get you used to reading and writing Rust code!

AI driven development in your terminal. Designed for large, real-world tasks.

Code examples and resources for DBRX, a large language model developed by Databricks

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

The official PyTorch implementation of Google's Gemma models

CLI tool to easily setup a new resume 📑

🦜🔗 Build context-aware reasoning applications

Implementation for paper: Causal Intervention for Weakly-Supervised Semantic Segmentation

The official Python library for the OpenAI API

This code contains the scripts for the experiments on causal inference.

Machine Learning algorithm implementations from scratch.